TB full model

Name: TB

Description: A full TB model including dynamics

Compartments

Compartment: Initialization population size

  • Code name: initj

  • Is junction

  • Appears in the databook

  • Databook values will be used for model initialization

  • Description:

  • Data entry guidance: Enter the total number of people in each population

Compartment: Susceptible

  • Code name: sus

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Vaccinated

  • Code name: vac

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Early latent untreated (diagnosable)

  • Code name: lteu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Early latent on treatment

  • Code name: ltet

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: Latent early treatment outcome

  • Code name: ltetoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Late latent untreated (diagnosable)

  • Code name: ltlu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Late latent on treatment

  • Code name: ltlt

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: Latent late treatment outcome

  • Code name: ltltoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Susceptible (diagnosis restricted)

  • Code name: susx

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Early latent untreated (diagnosis restricted)

  • Code name: ltex

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Late latent untreated (diagnosis restricted)

  • Code name: ltlx

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: Smear disaggregator for new active

  • Code name: acj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: Strain disaggregator for new smear positive

  • Code name: spj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-DS undiagnosed

  • Code name: spdu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-DS diagnosed but not on treatment

  • Code name: spdd

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-DS on treatment

  • Code name: spdt

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: SP-DS treatment outcome

  • Code name: spdtoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-MDR undiagnosed

  • Code name: spmu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-MDR diagnosed but not on treatment

  • Code name: spmd

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-MDR on treatment

  • Code name: spmt

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: SP-MDR treatment outcome

  • Code name: spmtoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-XDR undiagnosed

  • Code name: spxu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-XDR diagnosed but not on treatment

  • Code name: spxd

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SP-XDR on treatment

  • Code name: spxt

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: SP-XDR treatment outcome

  • Code name: spxtoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: Strain disaggregator for new smear negative

  • Code name: snj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-DS undiagnosed

  • Code name: sndu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-DS diagnosed but not on treatment

  • Code name: sndd

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-DS on treatment

  • Code name: sndt

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: SN-DS treatment outcome

  • Code name: sndtoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-MDR undiagnosed

  • Code name: snmu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-MDR diagnosed but not on treatment

  • Code name: snmd

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-MDR on treatment

  • Code name: snmt

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: SN-MDR treatment outcome

  • Code name: snmtoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-XDR undiagnosed

  • Code name: snxu

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-XDR diagnosed but not on treatment

  • Code name: snxd

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: SN-XDR on treatment

  • Code name: snxt

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: SN-XDR treatment outcome

  • Code name: snxtoj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Completed treatment (active)

  • Code name: acr

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Source: Origin of births

  • Code name: bir

  • Is source

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Source: Origin of immigration

  • Code name: immi

  • Is source

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Junction: Infection status of immigrants

  • Code name: imj

  • Is junction

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Sink: Cumulative TB deaths over simulation

  • Code name: ddis

  • Is sink

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Sink: Cumulative non-TB deaths over simulation

  • Code name: doth

  • Is sink

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Compartment: Sink: Cumulative emigration over simulation

  • Code name: emi

  • Is sink

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristics

Characteristic: Latent TB infections on treatment

  • Code name: ltt_inf

  • Includes:

    • Early latent on treatment

    • Late latent on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected diagnosis restricted latent infections

  • Code name: ltx_inf

  • Includes:

    • Early latent untreated (diagnosis restricted)

    • Late latent untreated (diagnosis restricted)

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected undiagnosed latent infections

  • Code name: lt_undiag

  • Includes:

    • Early latent untreated (diagnosable)

    • Late latent untreated (diagnosable)

    • Early latent untreated (diagnosis restricted)

    • Late latent untreated (diagnosis restricted)

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected early latent infections

  • Code name: lte_inf

  • Includes:

    • Early latent untreated (diagnosable)

    • Early latent on treatment

    • Early latent untreated (diagnosis restricted)

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected late latent infections

  • Code name: ltl_inf

  • Includes:

    • Late latent untreated (diagnosable)

    • Late latent on treatment

    • Late latent untreated (diagnosis restricted)

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected latent infections

  • Code name: lt_inf

  • Includes:

    • Suspected early latent infections

    • Suspected late latent infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Known SP-DS infections

  • Code name: spdk_inf

  • Includes:

    • SP-DS diagnosed but not on treatment

    • SP-DS on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Known SP-MDR infections

  • Code name: spmk_inf

  • Includes:

    • SP-MDR diagnosed but not on treatment

    • SP-MDR on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Known SP-XDR infections

  • Code name: spxk_inf

  • Includes:

    • SP-XDR diagnosed but not on treatment

    • SP-XDR on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Known SN-DS infections

  • Code name: sndk_inf

  • Includes:

    • SN-DS diagnosed but not on treatment

    • SN-DS on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Known SN-MDR infections

  • Code name: snmk_inf

  • Includes:

    • SN-MDR diagnosed but not on treatment

    • SN-MDR on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Known SN-XDR infections

  • Code name: snxk_inf

  • Includes:

    • SN-XDR diagnosed but not on treatment

    • SN-XDR on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Known active TB infections

  • Code name: known_inf

  • Includes:

    • Known SP-DS infections

    • Known SP-MDR infections

    • Known SP-XDR infections

    • Known SN-DS infections

    • Known SN-MDR infections

    • Known SN-XDR infections

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Diagnosed number of living people that developed active TB

  • Code name: known_cascade

  • Includes:

    • Known active TB infections

    • Completed treatment (active)

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP-DS infections

  • Code name: spd_inf

  • Includes:

    • SP-DS undiagnosed

    • Known SP-DS infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP-MD infections

  • Code name: spm_inf

  • Includes:

    • SP-MDR undiagnosed

    • Known SP-MDR infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP-XDR infections

  • Code name: spx_inf

  • Includes:

    • SP-XDR undiagnosed

    • Known SP-XDR infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN-DS infections

  • Code name: snd_inf

  • Includes:

    • SN-DS undiagnosed

    • Known SN-DS infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN-MDR infections

  • Code name: snm_inf

  • Includes:

    • SN-MDR undiagnosed

    • Known SN-MDR infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN-XDR infections

  • Code name: snx_inf

  • Includes:

    • SN-XDR undiagnosed

    • Known SN-XDR infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP infections

  • Code name: sp_inf

  • Includes:

    • Junction: Strain disaggregator for new smear positive

    • Suspected SP-DS infections

    • Suspected SP-MD infections

    • Suspected SP-XDR infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN infections

  • Code name: sn_inf

  • Includes:

    • Junction: Strain disaggregator for new smear negative

    • Suspected SN-DS infections

    • Suspected SN-MDR infections

    • Suspected SN-XDR infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Estimated number of people with DS TB

  • Code name: ds_inf

  • Includes:

    • Suspected SP-DS infections

    • Suspected SN-DS infections

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Estimated number of people with MDR TB

  • Code name: mdr_inf

  • Includes:

    • Suspected SP-MD infections

    • Suspected SN-MDR infections

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Estimated number of people with XDR TB

  • Code name: xdr_inf

  • Includes:

    • Suspected SP-XDR infections

    • Suspected SN-XDR infections

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Estimated number of people with DR TB

  • Code name: dr_inf

  • Includes:

    • Estimated number of people with MDR TB

    • Estimated number of people with XDR TB

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Estimated number of people with active TB

  • Code name: ac_inf

  • Includes:

    • Junction: Smear disaggregator for new active

    • Suspected SP infections

    • Suspected SN infections

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Estimated number of living people that developed active TB

  • Code name: ac_cascade

  • Includes:

    • Estimated number of people with active TB

    • Completed treatment (active)

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Population size

  • Code name: alive

  • Includes:

    • Initialization population size

    • Susceptible

    • Vaccinated

    • Susceptible (diagnosis restricted)

    • Completed treatment (active)

    • Suspected latent infections

    • Estimated number of people with active TB

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SP-DS infections

  • Code name: spd_infx

  • Includes:

    • SP-DS undiagnosed

    • SP-DS diagnosed but not on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SP-MDR infections

  • Code name: spm_infx

  • Includes:

    • SP-MDR undiagnosed

    • SP-MDR diagnosed but not on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SP-XDR infections

  • Code name: spx_infx

  • Includes:

    • SP-XDR undiagnosed

    • SP-XDR diagnosed but not on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SN-DS infections

  • Code name: snd_infx

  • Includes:

    • SN-DS undiagnosed

    • SN-DS diagnosed but not on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SN-MDR infections

  • Code name: snm_infx

  • Includes:

    • SN-MDR undiagnosed

    • SN-MDR diagnosed but not on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SN-XDR infections

  • Code name: snx_infx

  • Includes:

    • SN-XDR undiagnosed

    • SN-XDR diagnosed but not on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SP-DS prevalence

  • Code name: spd_prevx

  • Includes:

    • Suspected untreated SP-DS infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SP-MDR prevalence

  • Code name: spm_prevx

  • Includes:

    • Suspected untreated SP-MDR infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SP-XDR prevalence

  • Code name: spx_prevx

  • Includes:

    • Suspected untreated SP-XDR infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SN-DS prevalence

  • Code name: snd_prevx

  • Includes:

    • Suspected untreated SN-DS infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SN-MDR prevalence

  • Code name: snm_prevx

  • Includes:

    • Suspected untreated SN-MDR infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected untreated SN-XDR prevalence

  • Code name: snx_prevx

  • Includes:

    • Suspected untreated SN-XDR infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected LTBI prevalence

  • Code name: lt_prev

  • Includes:

    • Suspected latent infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP-DS prevalence

  • Code name: spd_prev

  • Includes:

    • Suspected SP-DS infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP-MDR prevalence

  • Code name: spm_prev

  • Includes:

    • Suspected SP-MD infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP-XDR prevalence

  • Code name: spx_prev

  • Includes:

    • Suspected SP-XDR infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN-DS prevalence

  • Code name: snd_prev

  • Includes:

    • Suspected SN-DS infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN-MDR prevalence

  • Code name: snm_prev

  • Includes:

    • Suspected SN-MDR infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN-XDR prevalence

  • Code name: snx_prev

  • Includes:

    • Suspected SN-XDR infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SP prevalence

  • Code name: sp_prev

  • Includes:

    • Suspected SP infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected SN prevalence

  • Code name: sn_prev

  • Includes:

    • Suspected SN infections

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected DS prevalence

  • Code name: ds_prev

  • Includes:

    • Estimated number of people with DS TB

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected DR prevalence

  • Code name: dr_prev

  • Includes:

    • Estimated number of people with DR TB

  • Denominator: Population size

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected MDR prevalence

  • Code name: mdr_prev

  • Includes:

    • Estimated number of people with MDR TB

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected XDR prevalence

  • Code name: xdr_prev

  • Includes:

    • Estimated number of people with XDR TB

  • Denominator: Population size

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected active TB prevalence

  • Code name: ac_prev

  • Includes:

    • Estimated number of people with active TB

  • Denominator: Population size

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected undiagnosed DS infections

  • Code name: num_undiag_ds

  • Includes:

    • SP-DS undiagnosed

    • SN-DS undiagnosed

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected undiagnosed MDR infections

  • Code name: num_undiag_mdr

  • Includes:

    • SP-MDR undiagnosed

    • SN-MDR undiagnosed

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Suspected undiagnosed XDR infections

  • Code name: num_undiag_xdr

  • Includes:

    • SP-XDR undiagnosed

    • SN-XDR undiagnosed

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Diagnosed DS infections

  • Code name: num_diag_ds

  • Includes:

    • SP-DS diagnosed but not on treatment

    • SP-DS on treatment

    • SN-DS diagnosed but not on treatment

    • SN-DS on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Diagnosed MDR infections

  • Code name: num_diag_mdr

  • Includes:

    • SP-MDR diagnosed but not on treatment

    • SP-MDR on treatment

    • SN-MDR diagnosed but not on treatment

    • SN-MDR on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Diagnosed XDR infections

  • Code name: num_diag_xdr

  • Includes:

    • SP-XDR diagnosed but not on treatment

    • SP-XDR on treatment

    • SN-XDR diagnosed but not on treatment

    • SN-XDR on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: DS cases on treatment

  • Code name: num_treat_ds

  • Includes:

    • SP-DS on treatment

    • SN-DS on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: MDR cases on treatment

  • Code name: num_treat_mdr

  • Includes:

    • SP-MDR on treatment

    • SN-MDR on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: XDR cases on treatment

  • Code name: num_treat_xdr

  • Includes:

    • SP-XDR on treatment

    • SN-XDR on treatment

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Active TB cases on treatment

  • Code name: num_treat

  • Includes:

    • DS cases on treatment

    • MDR cases on treatment

    • XDR cases on treatment

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Number of living people that have recovered from active TB in the previous 2 years

  • Code name: treat_cascade

  • Includes:

    • Completed treatment (active)

  • Appears in the databook

  • Description:

  • Data entry guidance:

Characteristic: Diagnosis sufficiency (known versus suspected infections)

  • Code name: diag_suff

  • Includes:

    • Known active TB infections

  • Denominator: Estimated number of people with active TB

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Characteristic: Treatment sufficiency (on-treatment versus known infections)

  • Code name: treat_suff

  • Includes:

    • Active TB cases on treatment

  • Denominator: Known active TB infections

  • Does not appear in the databook

  • Description:

  • Data entry guidance:

Parameters

Parameter: Initialization proportion of the population with active TB

  • Code name: aci_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: Vaccinated”

    • “Initialization proportion: SP-MDR diagnosed but not on treatment”

    • “Initialization proportion: Susceptible (diagnosis restricted)”

    • “Initialization proportion: SP-MDR on treatment”

    • “Initialization proportion: SN-MDR on treatment”

    • “Initialization proportion: SP-MDR undiagnosed”

    • “Initialization proportion: SP-DS on treatment”

    • “Initialization proportion: SN-DS diagnosed but not on treatment”

    • “Initialization proportion: Susceptible”

    • “Initialization proportion: SN-XDR diagnosed but not on treatment”

    • “Initialization proportion: SN-DS on treatment”

    • “Initialization proportion: SN-MDR diagnosed but not on treatment”

    • “Initialization proportion: SP-XDR on treatment”

    • “Initialization proportion: SP-XDR diagnosed but not on treatment”

    • “Initialization proportion: SN-MDR undiagnosed”

    • “Initialization proportion: SP-DS diagnosed but not on treatment”

    • “Initialization proportion: SP-DS undiagnosed”

    • “Initialization proportion: SN-XDR on treatment”

    • “Initialization proportion: SN-XDR undiagnosed”

    • “Initialization proportion: SP-XDR undiagnosed”

    • “Initialization proportion: SN-DS undiagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion of the population with latent TB

  • Code name: lti_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: Late latent untreated (diagnosable)”

    • “Initialization proportion: Late latent untreated (diagnosis restricted)”

    • “Initialization proportion: Vaccinated”

    • “Initialization proportion: Late latent on treatment”

    • “Initialization proportion: Susceptible”

    • “Initialization proportion: Susceptible (diagnosis restricted)”

    • “Initialization proportion: Early latent untreated (diagnosis restricted)”

    • “Initialization proportion: Early latent untreated (diagnosable)”

    • “Initialization proportion: Early latent on treatment”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion of latent TB cases that are early latent

  • Code name: ltei_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.1

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: Late latent untreated (diagnosable)”

    • “Initialization proportion: Late latent untreated (diagnosis restricted)”

    • “Initialization proportion: Late latent on treatment”

    • “Early latent proportion of new immigrants”

    • “Initialization proportion: Early latent untreated (diagnosis restricted)”

    • “Initialization proportion: Early latent untreated (diagnosable)”

    • “Initialization proportion: Early latent on treatment”

    • “Late latent proportion of new immigrants”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion of latent TB cases that are on treatment

  • Code name: lteti_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: Late latent untreated (diagnosable)”

    • “Initialization proportion: Late latent untreated (diagnosis restricted)”

    • “Initialization proportion: Late latent on treatment”

    • “Initialization proportion: Early latent untreated (diagnosis restricted)”

    • “Initialization proportion: Early latent untreated (diagnosable)”

    • “Initialization proportion: Early latent on treatment”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion of active TB cases that are diagnosed

  • Code name: acdi_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SN-DS undiagnosed”

    • “Initialization proportion: SP-DS on treatment”

    • “Initialization proportion: SN-DS diagnosed but not on treatment”

    • “Initialization proportion: SP-XDR diagnosed but not on treatment”

    • “Initialization proportion: SP-MDR diagnosed but not on treatment”

    • “Initialization proportion: SN-XDR diagnosed but not on treatment”

    • “Initialization proportion: SN-XDR on treatment”

    • “Initialization proportion: SP-MDR undiagnosed”

    • “Initialization proportion: SN-MDR on treatment”

    • “Initialization proportion: SN-XDR undiagnosed”

    • “Initialization proportion: SN-DS on treatment”

    • “Initialization proportion: SP-MDR on treatment”

    • “Initialization proportion: SN-MDR undiagnosed”

    • “Initialization proportion: SP-XDR undiagnosed”

    • “Initialization proportion: SP-XDR on treatment”

    • “Initialization proportion: SN-MDR diagnosed but not on treatment”

    • “Initialization proportion: SP-DS diagnosed but not on treatment”

    • “Initialization proportion: SP-DS undiagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion of diagnosed TB cases that are on treatment

  • Code name: dti_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SP-DS on treatment”

    • “Initialization proportion: SN-DS diagnosed but not on treatment”

    • “Initialization proportion: SP-XDR diagnosed but not on treatment”

    • “Initialization proportion: SP-MDR diagnosed but not on treatment”

    • “Initialization proportion: SN-XDR diagnosed but not on treatment”

    • “Initialization proportion: SN-XDR on treatment”

    • “Initialization proportion: SN-DS on treatment”

    • “Initialization proportion: SP-MDR on treatment”

    • “Initialization proportion: SN-MDR diagnosed but not on treatment”

    • “Initialization proportion: SP-XDR on treatment”

    • “Initialization proportion: SN-MDR on treatment”

    • “Initialization proportion: SP-DS diagnosed but not on treatment”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion of the population that have previously been vaccinated

  • Code name: vaci_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: Vaccinated”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion of the population that have previously been infected with TB

  • Code name: und_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: Late latent untreated (diagnosable)”

    • “Initialization proportion: Late latent untreated (diagnosis restricted)”

    • “Initialization proportion: Susceptible”

    • “Initialization proportion: Susceptible (diagnosis restricted)”

    • “Initialization proportion: Early latent untreated (diagnosis restricted)”

    • “Initialization proportion: Early latent untreated (diagnosable)”

  • Description:

  • Data entry guidance:

Parameter: New active infections: proportion of population that are SP

  • Code name: p_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Smear disaggregator for new active” to “Junction: Strain disaggregator for new smear positive”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SP-DS on treatment”

    • “Initialization proportion: SP-XDR diagnosed but not on treatment”

    • “Initialization proportion: SP-MDR diagnosed but not on treatment”

    • “Initialization proportion: SP-MDR undiagnosed”

    • “Initialization proportion: SP-MDR on treatment”

    • “Initialization proportion: SP-XDR undiagnosed”

    • “Initialization proportion: SP-XDR on treatment”

    • “Initialization proportion: SP-DS diagnosed but not on treatment”

    • “Initialization proportion: SP-DS undiagnosed”

  • Description:

  • Data entry guidance:

Parameter: New active infections: proportion of population that are SN

  • Code name: n_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Smear disaggregator for new active” to “Junction: Strain disaggregator for new smear negative”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SN-DS diagnosed but not on treatment”

    • “Initialization proportion: SN-XDR diagnosed but not on treatment”

    • “Initialization proportion: SN-XDR on treatment”

    • “Initialization proportion: SN-XDR undiagnosed”

    • “Initialization proportion: SN-DS on treatment”

    • “Initialization proportion: SN-MDR undiagnosed”

    • “Initialization proportion: SN-MDR diagnosed but not on treatment”

    • “Initialization proportion: SN-MDR on treatment”

    • “Initialization proportion: SN-DS undiagnosed”

  • Description:

  • Data entry guidance:

Parameter: New SP infections: proportion of population that are SP-DS

  • Code name: pd_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Strain disaggregator for new smear positive” to “SP-DS undiagnosed”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SP-DS on treatment”

    • “Initialization proportion: SP-DS diagnosed but not on treatment”

    • “Initialization proportion: SP-DS undiagnosed”

  • Description:

  • Data entry guidance:

Parameter: New SP infections: proportion of population that are SP-MDR

  • Code name: pm_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Strain disaggregator for new smear positive” to “SP-MDR undiagnosed”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SP-MDR diagnosed but not on treatment”

    • “Initialization proportion: SP-MDR undiagnosed”

    • “Initialization proportion: SP-MDR on treatment”

  • Description:

  • Data entry guidance:

Parameter: New SP infections: proportion of population that are SP-XDR

  • Code name: px_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Strain disaggregator for new smear positive” to “SP-XDR undiagnosed”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SP-XDR undiagnosed”

    • “Initialization proportion: SP-XDR on treatment”

    • “Initialization proportion: SP-XDR diagnosed but not on treatment”

  • Description:

  • Data entry guidance:

Parameter: New SN infections: proportion of population that are SN-DS

  • Code name: nd_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Strain disaggregator for new smear negative” to “SN-DS undiagnosed”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SN-DS on treatment”

    • “Initialization proportion: SN-DS diagnosed but not on treatment”

    • “Initialization proportion: SN-DS undiagnosed”

  • Description:

  • Data entry guidance:

Parameter: New SN infections: proportion of population that are SN-MDR

  • Code name: nm_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Strain disaggregator for new smear negative” to “SN-MDR undiagnosed”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SN-MDR on treatment”

    • “Initialization proportion: SN-MDR diagnosed but not on treatment”

    • “Initialization proportion: SN-MDR undiagnosed”

  • Description:

  • Data entry guidance:

Parameter: New SN infections: proportion of population that are SN-XDR

  • Code name: nx_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Strain disaggregator for new smear negative” to “SN-XDR undiagnosed”

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “Initialization proportion: SN-XDR diagnosed but not on treatment”

    • “Initialization proportion: SN-XDR undiagnosed”

    • “Initialization proportion: SN-XDR on treatment”

  • Description:

  • Data entry guidance:

Parameter: Infection vulnerability factor (relative population susceptibility)

  • Code name: inf_sus

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 1

  • Appears in the databook

  • Used to compute:

    • “Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)”

    • “Infection rate (susceptible to diagnosable latent)”

    • “Infection rate (vaccinated to diagnosis restricted latent)”

  • Description:

  • Data entry guidance:

Parameter: Infection vulnerability factor (vaccinated versus susceptible)

  • Code name: vac_fac

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 0.5

  • Appears in the databook

  • Used to compute:

    • “Infection rate (vaccinated to diagnosis restricted latent)”

    • “Initialization proportion: Vaccinated”

  • Description:

  • Data entry guidance:

Parameter: Infection vulnerability factor (recovered versus susceptible)

  • Code name: lat_fac

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 0.5

  • Appears in the databook

  • Used to compute:

    • “Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: SP-DS infectiousness

  • Code name: spd_infxness

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 1

  • Appears in the databook

  • Used to compute:

    • “SN-MDR infectiousness”

    • “SN-XDR infectiousness”

    • “SN-DS infectiousness”

    • “SP-XDR infectiousness”

    • “SP-MDR infectiousness”

    • “Force of infection from SP prevalence”

  • Description:

  • Data entry guidance:

Parameter: Relative infectiousness (SN versus SP)

  • Code name: sn_fac

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 0.22

  • Appears in the databook

  • Used to compute:

    • “SN-XDR infectiousness”

    • “SN-MDR infectiousness”

    • “SN-DS infectiousness”

  • Description:

  • Data entry guidance:

Parameter: Relative infectiousness (MDR versus DS)

  • Code name: mdr_fac

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 1

  • Appears in the databook

  • Used to compute:

    • “SP-MDR infectiousness”

    • “SN-MDR infectiousness”

  • Description:

  • Data entry guidance:

Parameter: Relative infectiousness (XDR versus DS)

  • Code name: xdr_fac

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 1

  • Appears in the databook

  • Used to compute:

    • “SN-XDR infectiousness”

    • “SP-XDR infectiousness”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Early latent untreated (diagnosable)

  • Code name: lteu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Early latent untreated (diagnosable)”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lti_idiv*ltei_idiv*(1-und_idiv)*(1-lteti_idiv)

  • Depends on:

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of the population that have previously been infected with TB”

    • “Initialization proportion of latent TB cases that are on treatment”

    • “Initialization proportion of latent TB cases that are early latent”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Early latent on treatment

  • Code name: ltet_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Early latent on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lti_idiv*ltei_idiv*lteti_idiv

  • Depends on:

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of latent TB cases that are on treatment”

    • “Initialization proportion of latent TB cases that are early latent”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Late latent untreated (diagnosable)

  • Code name: ltlu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Late latent untreated (diagnosable)”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lti_idiv*(1-ltei_idiv)*(1-und_idiv)*(1-lteti_idiv)

  • Depends on:

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of the population that have previously been infected with TB”

    • “Initialization proportion of latent TB cases that are on treatment”

    • “Initialization proportion of latent TB cases that are early latent”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Late latent on treatment

  • Code name: ltlt_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Late latent on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lti_idiv*(1-ltei_idiv)*lteti_idiv

  • Depends on:

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of latent TB cases that are on treatment”

    • “Initialization proportion of latent TB cases that are early latent”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Early latent untreated (diagnosis restricted)

  • Code name: ltex_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Early latent untreated (diagnosis restricted)”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lti_idiv*ltei_idiv*und_idiv*(1-lteti_idiv)

  • Depends on:

    • “Initialization proportion of latent TB cases that are on treatment”

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of the population that have previously been infected with TB”

    • “Initialization proportion of latent TB cases that are early latent”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Late latent untreated (diagnosis restricted)

  • Code name: ltlx_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Late latent untreated (diagnosis restricted)”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lti_idiv*(1-ltei_idiv)*und_idiv*(1-lteti_idiv)

  • Depends on:

    • “Initialization proportion of latent TB cases that are on treatment”

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of the population that have previously been infected with TB”

    • “Initialization proportion of latent TB cases that are early latent”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-DS undiagnosed

  • Code name: spdu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-DS undiagnosed”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*pd_div*(1-acdi_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “New SP infections: proportion of population that are SP-DS”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-DS diagnosed but not on treatment

  • Code name: spdd_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-DS diagnosed but not on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*pd_div*acdi_idiv*(1-dti_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SP infections: proportion of population that are SP-DS”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-DS on treatment

  • Code name: spdt_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-DS on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*pd_div*acdi_idiv*dti_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SP infections: proportion of population that are SP-DS”

  • Used to compute:

    • “Initialization proportion: Completed treatment (active)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-MDR undiagnosed

  • Code name: spmu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-MDR undiagnosed”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*pm_div*(1-acdi_idiv)

  • Depends on:

    • “New SP infections: proportion of population that are SP-MDR”

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-MDR diagnosed but not on treatment

  • Code name: spmd_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-MDR diagnosed but not on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*pm_div*acdi_idiv*(1-dti_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “New SP infections: proportion of population that are SP-MDR”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-MDR on treatment

  • Code name: spmt_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-MDR on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*pm_div*acdi_idiv*dti_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “New SP infections: proportion of population that are SP-MDR”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Used to compute:

    • “Initialization proportion: Completed treatment (active)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-XDR undiagnosed

  • Code name: spxu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-XDR undiagnosed”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*px_div*(1-acdi_idiv)

  • Depends on:

    • “New SP infections: proportion of population that are SP-XDR”

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-XDR diagnosed but not on treatment

  • Code name: spxd_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-XDR diagnosed but not on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*px_div*acdi_idiv*(1-dti_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SP infections: proportion of population that are SP-XDR”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SP-XDR on treatment

  • Code name: spxt_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SP-XDR on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*p_div*px_div*acdi_idiv*dti_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SP”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SP infections: proportion of population that are SP-XDR”

  • Used to compute:

    • “Initialization proportion: Completed treatment (active)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-DS undiagnosed

  • Code name: sndu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-DS undiagnosed”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nd_div*(1-acdi_idiv)

  • Depends on:

    • “New SN infections: proportion of population that are SN-DS”

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SN”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-DS diagnosed but not on treatment

  • Code name: sndd_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-DS diagnosed but not on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nd_div*acdi_idiv*(1-dti_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SN”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SN infections: proportion of population that are SN-DS”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-DS on treatment

  • Code name: sndt_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-DS on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nd_div*acdi_idiv*dti_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SN”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SN infections: proportion of population that are SN-DS”

  • Used to compute:

    • “Initialization proportion: Completed treatment (active)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-MDR undiagnosed

  • Code name: snmu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-MDR undiagnosed”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nm_div*(1-acdi_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New SN infections: proportion of population that are SN-MDR”

    • “New active infections: proportion of population that are SN”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-MDR diagnosed but not on treatment

  • Code name: snmd_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-MDR diagnosed but not on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nm_div*acdi_idiv*(1-dti_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SN”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SN infections: proportion of population that are SN-MDR”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-MDR on treatment

  • Code name: snmt_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-MDR on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nm_div*acdi_idiv*dti_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SN”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

    • “New SN infections: proportion of population that are SN-MDR”

  • Used to compute:

    • “Initialization proportion: Completed treatment (active)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-XDR undiagnosed

  • Code name: snxu_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-XDR undiagnosed”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nx_div*(1-acdi_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New SN infections: proportion of population that are SN-XDR”

    • “New active infections: proportion of population that are SN”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-XDR diagnosed but not on treatment

  • Code name: snxd_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-XDR diagnosed but not on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nx_div*acdi_idiv*(1-dti_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SN”

    • “New SN infections: proportion of population that are SN-XDR”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: SN-XDR on treatment

  • Code name: snxt_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “SN-XDR on treatment”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: aci_idiv*n_div*nx_div*acdi_idiv*dti_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “New active infections: proportion of population that are SN”

    • “New SN infections: proportion of population that are SN-XDR”

    • “Initialization proportion of diagnosed TB cases that are on treatment”

    • “Initialization proportion of active TB cases that are diagnosed”

  • Used to compute:

    • “Initialization proportion: Completed treatment (active)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Completed treatment (active)

  • Code name: acr_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Completed treatment (active)”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: 1.5*(spdt_idiv+spmt_idiv+spxt_idiv+sndt_idiv+snmt_idiv+snxt_idiv)

  • Depends on:

    • “Initialization proportion: SP-DS on treatment”

    • “Initialization proportion: SN-XDR on treatment”

    • “Initialization proportion: SN-DS on treatment”

    • “Initialization proportion: SP-MDR on treatment”

    • “Initialization proportion: SP-XDR on treatment”

    • “Initialization proportion: SN-MDR on treatment”

  • Used to compute:

    • “Initialization proportion: Susceptible”

    • “Initialization proportion: Vaccinated”

    • “Initialization proportion: Susceptible (diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Vaccinated

  • Code name: vac_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Vaccinated”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: (1-vac_fac*(aci_idiv-lti_idiv-acr_idiv))*vaci_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “Initialization proportion of the population that have previously been vaccinated”

    • “Initialization proportion: Completed treatment (active)”

    • “Initialization proportion of the population with latent TB”

    • “Infection vulnerability factor (vaccinated versus susceptible)”

  • Used to compute:

    • “Initialization proportion: Susceptible”

    • “Initialization proportion: Susceptible (diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Susceptible

  • Code name: sus_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Susceptible”

  • Default value: 1

  • Does not appear in the databook

  • This parameter’s value is computed by a function: (1-aci_idiv-lti_idiv-vac_idiv-acr_idiv)*(1-und_idiv)

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “Initialization proportion: Vaccinated”

    • “Initialization proportion: Completed treatment (active)”

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of the population that have previously been infected with TB”

  • Description:

  • Data entry guidance:

Parameter: Initialization proportion: Susceptible (diagnosis restricted)

  • Code name: susx_idiv

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Initialization population size” to “Susceptible (diagnosis restricted)”

  • Default value: 0

  • Does not appear in the databook

  • This parameter’s value is computed by a function: (1-aci_idiv-lti_idiv-vac_idiv-acr_idiv)*und_idiv

  • Depends on:

    • “Initialization proportion of the population with active TB”

    • “Initialization proportion: Vaccinated”

    • “Initialization proportion: Completed treatment (active)”

    • “Initialization proportion of the population with latent TB”

    • “Initialization proportion of the population that have previously been infected with TB”

  • Description:

  • Data entry guidance:

Parameter: Number of births

  • Code name: b_rate

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Source: Origin of births” to “Susceptible”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: Non-TB deaths

  • Code name: doth_rate

  • Units/format: probability

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Susceptible” to “Sink: Cumulative non-TB deaths over simulation”

    • “Vaccinated” to “Sink: Cumulative non-TB deaths over simulation”

    • “Early latent untreated (diagnosable)” to “Sink: Cumulative non-TB deaths over simulation”

    • “Early latent on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “Late latent untreated (diagnosable)” to “Sink: Cumulative non-TB deaths over simulation”

    • “Late latent on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “Susceptible (diagnosis restricted)” to “Sink: Cumulative non-TB deaths over simulation”

    • “Early latent untreated (diagnosis restricted)” to “Sink: Cumulative non-TB deaths over simulation”

    • “Late latent untreated (diagnosis restricted)” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-DS undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-DS diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-DS on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-MDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-MDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-MDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-XDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-XDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SP-XDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-DS undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-DS diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-DS on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-MDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-MDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-MDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-XDR undiagnosed” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-XDR diagnosed but not on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “SN-XDR on treatment” to “Sink: Cumulative non-TB deaths over simulation”

    • “Completed treatment (active)” to “Sink: Cumulative non-TB deaths over simulation”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: Number of new immigrants

  • Code name: i_rate

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Source: Origin of immigration” to “Junction: Infection status of immigrants”

  • Default value: 0

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: Number of departing emigrants

  • Code name: e_rate

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Susceptible” to “Sink: Cumulative emigration over simulation”

    • “Vaccinated” to “Sink: Cumulative emigration over simulation”

    • “Early latent untreated (diagnosable)” to “Sink: Cumulative emigration over simulation”

    • “Early latent on treatment” to “Sink: Cumulative emigration over simulation”

    • “Late latent untreated (diagnosable)” to “Sink: Cumulative emigration over simulation”

    • “Late latent on treatment” to “Sink: Cumulative emigration over simulation”

    • “Susceptible (diagnosis restricted)” to “Sink: Cumulative emigration over simulation”

    • “Early latent untreated (diagnosis restricted)” to “Sink: Cumulative emigration over simulation”

    • “Late latent untreated (diagnosis restricted)” to “Sink: Cumulative emigration over simulation”

    • “SP-DS undiagnosed” to “Sink: Cumulative emigration over simulation”

    • “SP-DS diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”

    • “SP-DS on treatment” to “Sink: Cumulative emigration over simulation”

    • “SP-MDR undiagnosed” to “Sink: Cumulative emigration over simulation”

    • “SP-MDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”

    • “SP-MDR on treatment” to “Sink: Cumulative emigration over simulation”

    • “SP-XDR undiagnosed” to “Sink: Cumulative emigration over simulation”

    • “SP-XDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”

    • “SP-XDR on treatment” to “Sink: Cumulative emigration over simulation”

    • “SN-DS undiagnosed” to “Sink: Cumulative emigration over simulation”

    • “SN-DS diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”

    • “SN-DS on treatment” to “Sink: Cumulative emigration over simulation”

    • “SN-MDR undiagnosed” to “Sink: Cumulative emigration over simulation”

    • “SN-MDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”

    • “SN-MDR on treatment” to “Sink: Cumulative emigration over simulation”

    • “SN-XDR undiagnosed” to “Sink: Cumulative emigration over simulation”

    • “SN-XDR diagnosed but not on treatment” to “Sink: Cumulative emigration over simulation”

    • “SN-XDR on treatment” to “Sink: Cumulative emigration over simulation”

    • “Completed treatment (active)” to “Sink: Cumulative emigration over simulation”

  • Default value: 0

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: Number of vaccinations administered

  • Code name: v_num

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Susceptible” to “Vaccinated”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: LTBI treatment initiations through mass screening

  • Code name: l_ntreat_ms

  • Units/format: number

  • Value restrictions: At least 0

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Late-LTBI annual number initiating treatment”

    • “Early-LTBI annual number initiating treatment”

  • Description:

  • Data entry guidance:

Parameter: LTBI treatment initiations through contact tracing

  • Code name: l_ntreat_ct

  • Units/format: number

  • Value restrictions: At least 0

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Early-LTBI annual number initiating treatment”

    • “Early-LTBI (diagnosis restricted) annual number initiating treatment”

  • Description:

  • Data entry guidance:

Parameter: LTBI treatment average duration of full course

  • Code name: l_duration

  • Units/format: days

  • Value restrictions: At least 1.0000

  • Default value: 180

  • Appears in the databook

  • Used to compute:

    • “LTBI treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: LTBI treatment proportion of lost to follow up

  • Code name: lt_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.07

  • Appears in the databook

  • Used to compute:

    • “Early-LTBI treatment abandonment rate”

    • “Late-LTBI treatment abandonment rate”

    • “LTBI treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: LTBI treatment proportion of successful completions

  • Code name: lt_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.93

  • Appears in the databook

  • Used to compute:

    • “Late-LTBI treatment success rate”

    • “Early-LTBI treatment success rate”

  • Description:

  • Data entry guidance:

Parameter: LTBI treatment average duration until outcome

  • Code name: ltt_dur

  • Units/format: duration

  • Contributes to transitions from:

    • “Early latent on treatment” to “Junction: Latent early treatment outcome”

    • “Late latent on treatment” to “Junction: Latent late treatment outcome”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: l_duration*(1-0.5*lt_fail_div)/365

  • Depends on:

    • “LTBI treatment proportion of lost to follow up”

    • “LTBI treatment average duration of full course”

  • Description:

  • Data entry guidance:

Parameter: Early-LTBI annual number initiating treatment

  • Code name: le_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Early latent untreated (diagnosable)” to “Early latent on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: l_ntreat_ct*(lteu/max(lteu+ltex, 1.)) + l_ntreat_ms*(lteu/max(lteu+ltlu, 1.))

  • Depends on:

    • “Early latent untreated (diagnosable)”

    • “Late latent untreated (diagnosable)”

    • “LTBI treatment initiations through mass screening”

    • “LTBI treatment initiations through contact tracing”

    • “Early latent untreated (diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: Early-LTBI (diagnosis restricted) annual number initiating treatment

  • Code name: lx_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Early latent untreated (diagnosis restricted)” to “Early latent on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: l_ntreat_ct*(ltex/max(lteu+ltex, 1.))

  • Depends on:

    • “LTBI treatment initiations through contact tracing”

    • “Early latent untreated (diagnosable)”

    • “Early latent untreated (diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: Late-LTBI annual number initiating treatment

  • Code name: ll_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “Late latent untreated (diagnosable)” to “Late latent on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: l_ntreat_ms*(ltlu/max(lteu+ltlu, 1.))

  • Depends on:

    • “Late latent untreated (diagnosable)”

    • “Early latent untreated (diagnosable)”

    • “LTBI treatment initiations through mass screening”

  • Description:

  • Data entry guidance:

Parameter: Early-LTBI treatment abandonment rate

  • Code name: let_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Latent early treatment outcome” to “Early latent untreated (diagnosis restricted)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lt_fail_div

  • Depends on:

    • “LTBI treatment proportion of lost to follow up”

  • Description:

  • Data entry guidance:

Parameter: Early-LTBI treatment success rate

  • Code name: let_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Latent early treatment outcome” to “Susceptible (diagnosis restricted)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lt_succ_div

  • Depends on:

    • “LTBI treatment proportion of successful completions”

  • Description:

  • Data entry guidance:

Parameter: Late-LTBI treatment abandonment rate

  • Code name: llt_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Latent late treatment outcome” to “Late latent untreated (diagnosis restricted)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lt_fail_div

  • Depends on:

    • “LTBI treatment proportion of lost to follow up”

  • Description:

  • Data entry guidance:

Parameter: Late-LTBI treatment success rate

  • Code name: llt_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Latent late treatment outcome” to “Susceptible (diagnosis restricted)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: lt_succ_div

  • Depends on:

    • “LTBI treatment proportion of successful completions”

  • Description:

  • Data entry guidance:

Parameter: Early latency departure rate

  • Code name: e_dep

  • Units/format: None

  • Value restrictions: 0-1.0000

  • Default value: 0.2

  • Appears in the databook

  • Used to compute:

    • “LTBI-active progression rate (early diagnosis restricted)”

    • “LTBI-active progression rate (early diagnosable)”

    • “Early-late LTBI progression rate (diagnosable)”

    • “Early-late LTBI progression rate (diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: Late latency departure rate

  • Code name: l_dep

  • Units/format: None

  • Value restrictions: 0-1.0000

  • Default value: 0.003

  • Appears in the databook

  • Used to compute:

    • “LTBI-active progression rate (late diagnosable)”

    • “LTBI-active progression rate (late diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: Probability of early-active versus early-late progression

  • Code name: p_branch

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: 0.177

  • Appears in the databook

  • Used to compute:

    • “LTBI-active progression rate (early diagnosis restricted)”

    • “LTBI-active progression rate (early diagnosable)”

    • “Early-late LTBI progression rate (diagnosable)”

    • “Early-late LTBI progression rate (diagnosis restricted)”

  • Description:

  • Data entry guidance:

Parameter: Early-late LTBI progression rate (diagnosable)

  • Code name: lu_prog

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Early latent untreated (diagnosable)” to “Late latent untreated (diagnosable)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: (1-p_branch)*e_dep

  • Depends on:

    • “Early latency departure rate”

    • “Probability of early-active versus early-late progression”

  • Description:

  • Data entry guidance:

Parameter: Early-late LTBI progression rate (diagnosis restricted)

  • Code name: lx_prog

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Early latent untreated (diagnosis restricted)” to “Late latent untreated (diagnosis restricted)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: (1-p_branch)*e_dep

  • Depends on:

    • “Early latency departure rate”

    • “Probability of early-active versus early-late progression”

  • Description:

  • Data entry guidance:

Parameter: LTBI-active progression rate (early diagnosable)

  • Code name: leu_act

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Early latent untreated (diagnosable)” to “Junction: Smear disaggregator for new active”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: p_branch*e_dep

  • Depends on:

    • “Early latency departure rate”

    • “Probability of early-active versus early-late progression”

  • Description:

  • Data entry guidance:

Parameter: LTBI-active progression rate (early diagnosis restricted)

  • Code name: lex_act

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Early latent untreated (diagnosis restricted)” to “Junction: Smear disaggregator for new active”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: p_branch*e_dep

  • Depends on:

    • “Early latency departure rate”

    • “Probability of early-active versus early-late progression”

  • Description:

  • Data entry guidance:

Parameter: LTBI-active progression rate (late diagnosable)

  • Code name: llu_act

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Late latent untreated (diagnosable)” to “Junction: Smear disaggregator for new active”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: l_dep

  • Depends on:

    • “Late latency departure rate”

  • Description:

  • Data entry guidance:

Parameter: LTBI-active progression rate (late diagnosis restricted)

  • Code name: llx_act

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Late latent untreated (diagnosis restricted)” to “Junction: Smear disaggregator for new active”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: l_dep

  • Depends on:

    • “Late latency departure rate”

  • Description:

  • Data entry guidance:

Parameter: SP-MDR infectiousness

  • Code name: spm_infxness

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: spd_infxness*mdr_fac

  • Depends on:

    • “SP-DS infectiousness”

    • “Relative infectiousness (MDR versus DS)”

  • Used to compute:

    • “Force of infection from SP prevalence”

  • Description:

  • Data entry guidance:

Parameter: SP-XDR infectiousness

  • Code name: spx_infxness

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: spd_infxness*xdr_fac

  • Depends on:

    • “Relative infectiousness (XDR versus DS)”

    • “SP-DS infectiousness”

  • Used to compute:

    • “Force of infection from SP prevalence”

  • Description:

  • Data entry guidance:

Parameter: SN-DS infectiousness

  • Code name: snd_infxness

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: sn_fac*spd_infxness

  • Depends on:

    • “Relative infectiousness (SN versus SP)”

    • “SP-DS infectiousness”

  • Used to compute:

    • “Force of infection from SN prevalence”

  • Description:

  • Data entry guidance:

Parameter: SN-MDR infectiousness

  • Code name: snm_infxness

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: sn_fac*spd_infxness*mdr_fac

  • Depends on:

    • “Relative infectiousness (SN versus SP)”

    • “SP-DS infectiousness”

    • “Relative infectiousness (MDR versus DS)”

  • Used to compute:

    • “Force of infection from SN prevalence”

  • Description:

  • Data entry guidance:

Parameter: SN-XDR infectiousness

  • Code name: snx_infxness

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: sn_fac*spd_infxness*xdr_fac

  • Depends on:

    • “Relative infectiousness (SN versus SP)”

    • “Relative infectiousness (XDR versus DS)”

    • “SP-DS infectiousness”

  • Used to compute:

    • “Force of infection from SN prevalence”

  • Description:

  • Data entry guidance:

Parameter: Force of infection from SP prevalence

  • Code name: foi_p

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: spd_infxness*spd_prevx+spm_infxness*spm_prevx+spx_infxness*spx_prevx

  • Depends on:

    • “SP-XDR infectiousness”

    • “Suspected untreated SP-DS prevalence”

    • “SP-MDR infectiousness”

    • “SP-DS infectiousness”

    • “Suspected untreated SP-MDR prevalence”

    • “Suspected untreated SP-XDR prevalence”

  • Used to compute:

    • “Force of infection imparted by population”

  • Description:

  • Data entry guidance:

Parameter: Force of infection from SN prevalence

  • Code name: foi_n

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: snd_infxness*snd_prevx+snm_infxness*snm_prevx+snx_infxness*snx_prevx

  • Depends on:

    • “SN-MDR infectiousness”

    • “Suspected untreated SN-XDR prevalence”

    • “SN-DS infectiousness”

    • “SN-XDR infectiousness”

    • “Suspected untreated SN-DS prevalence”

    • “Suspected untreated SN-MDR prevalence”

  • Used to compute:

    • “Force of infection imparted by population”

  • Description:

  • Data entry guidance:

Parameter: Force of infection imparted by population

  • Code name: foi_out

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: foi_p+foi_n

  • Depends on:

    • “Force of infection from SN prevalence”

    • “Force of infection from SP prevalence”

  • Used to compute:

    • “Force of infection experienced by population”

  • Description:

  • Data entry guidance:

Parameter: Force of infection experienced by population

  • Code name: foi_in

  • Units/format: None

  • Value restrictions: At least 0

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: SRC_POP_AVG(foi_out, w_ctc, alive)

  • Depends on:

    • “Population size”

    • “Force of infection imparted by population”

    • “Preference weighting for one population interacting with another”

  • Used to compute:

    • “Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)”

    • “Infection rate (susceptible to diagnosable latent)”

    • “Infection rate (vaccinated to diagnosis restricted latent)”

  • Description:

  • Data entry guidance:

Parameter: Infection rate (susceptible to diagnosable latent)

  • Code name: l_inf

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Susceptible” to “Early latent untreated (diagnosable)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: foi_in*inf_sus

  • Depends on:

    • “Force of infection experienced by population”

    • “Infection vulnerability factor (relative population susceptibility)”

  • Description:

  • Data entry guidance:

Parameter: Infection rate (vaccinated to diagnosis restricted latent)

  • Code name: v_inf

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Vaccinated” to “Early latent untreated (diagnosis restricted)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: foi_in*inf_sus*vac_fac

  • Depends on:

    • “Force of infection experienced by population”

    • “Infection vulnerability factor (vaccinated versus susceptible)”

    • “Infection vulnerability factor (relative population susceptibility)”

  • Description:

  • Data entry guidance:

Parameter: Reinfection rate (susceptible to diagnosis restricted for diagnosis restricted)

  • Code name: lr_inf

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Susceptible (diagnosis restricted)” to “Early latent untreated (diagnosis restricted)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: foi_in*inf_sus*lat_fac

  • Depends on:

    • “Force of infection experienced by population”

    • “Infection vulnerability factor (recovered versus susceptible)”

    • “Infection vulnerability factor (relative population susceptibility)”

  • Description:

  • Data entry guidance:

Parameter: Relapse rate for completed treatment (active) cases

  • Code name: ar_act

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Completed treatment (active)” to “Junction: Smear disaggregator for new active”

  • Default value: 0.2

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: Full recovery rate for completed treatment (active) cases

  • Code name: ar_rec

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Completed treatment (active)” to “Susceptible (diagnosis restricted)”

  • Default value: 0.5

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: Proportion of new immigrants with LTBI

  • Code name: im_lat_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Infection status of immigrants” to “Late latent untreated (diagnosable)”

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Susceptible proportion of immigrants”

    • “Late latent proportion of new immigrants”

    • “Early latent proportion of new immigrants”

  • Description:

  • Data entry guidance:

Parameter: Early latent proportion of new immigrants

  • Code name: im_late_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: im_lat_div*ltei_idiv

  • Depends on:

    • “Initialization proportion of latent TB cases that are early latent”

    • “Proportion of new immigrants with LTBI”

  • Description:

  • Data entry guidance:

Parameter: Late latent proportion of new immigrants

  • Code name: im_latl_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: im_lat_div*(1-ltei_idiv)

  • Depends on:

    • “Initialization proportion of latent TB cases that are early latent”

    • “Proportion of new immigrants with LTBI”

  • Description:

  • Data entry guidance:

Parameter: Proportion of new immigrants with active TB infections

  • Code name: im_act_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Infection status of immigrants” to “Junction: Smear disaggregator for new active”

  • Default value: 0

  • Appears in the databook

  • Used to compute:

    • “Susceptible proportion of immigrants”

  • Description:

  • Data entry guidance:

Parameter: Susceptible proportion of immigrants

  • Code name: im_sus_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: Infection status of immigrants” to “Susceptible”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: 1-im_lat_div-im_act_div

  • Depends on:

    • “Proportion of new immigrants with LTBI”

    • “Proportion of new immigrants with active TB infections”

  • Description:

  • Data entry guidance:

Parameter: SP-DS diagnosis notifications

  • Code name: pd_ndiag

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SP-DS undiagnosed” to “SP-DS diagnosed but not on treatment”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SP-MDR diagnosis notifications

  • Code name: pm_ndiag

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SP-MDR undiagnosed” to “SP-MDR diagnosed but not on treatment”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SP-XDR diagnosis notifications

  • Code name: px_ndiag

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SP-XDR undiagnosed” to “SP-XDR diagnosed but not on treatment”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-DS diagnosis notifications

  • Code name: nd_ndiag

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SN-DS undiagnosed” to “SN-DS diagnosed but not on treatment”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-MDR diagnosis notifications

  • Code name: nm_ndiag

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SN-MDR undiagnosed” to “SN-MDR diagnosed but not on treatment”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-XDR diagnosis notifications

  • Code name: nx_ndiag

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SN-XDR undiagnosed” to “SN-XDR diagnosed but not on treatment”

  • Default value: None

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: DS treatment number of initiations

  • Code name: d_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “SP-DS treatment number of initiations”

    • “SN-DS treatment number of initiations”

  • Description:

  • Data entry guidance:

Parameter: SP-DS treatment number of initiations

  • Code name: pd_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SP-DS diagnosed but not on treatment” to “SP-DS on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_ntreat*(spdd/max(spdd+sndd, 1.))

  • Depends on:

    • “SP-DS diagnosed but not on treatment”

    • “SN-DS diagnosed but not on treatment”

    • “DS treatment number of initiations”

  • Description:

  • Data entry guidance:

Parameter: SN-DS treatment number of initiations

  • Code name: nd_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SN-DS diagnosed but not on treatment” to “SN-DS on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_ntreat*(spdd/max(spdd+sndd, 1.))

  • Depends on:

    • “SP-DS diagnosed but not on treatment”

    • “SN-DS diagnosed but not on treatment”

    • “DS treatment number of initiations”

  • Description:

  • Data entry guidance:

Parameter: DS treatment average duration of completed treatment

  • Code name: d_duration

  • Units/format: days

  • Value restrictions: At least 1.0000

  • Default value: 180

  • Appears in the databook

  • Used to compute:

    • “DS treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: DS treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: d_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.07

  • Appears in the databook

  • Used to compute:

    • “SN-DS treatment proportion of loss to follow up (require re-diagnosis)”

    • “DS treatment average duration until outcome”

    • “SP-DS treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: DS treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: d_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.02

  • Appears in the databook

  • Used to compute:

    • “SP-DS treatment proportion failed (no escalation, no need to re-diagnose)”

    • “SN-DS treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: DS treatment proportion failed (escalation to MDR, require re-diagnosis)

  • Code name: d_esc_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.02

  • Appears in the databook

  • Used to compute:

    • “SP-DS treatment proportion failed (escalation to MDR, require re-diagnosis)”

    • “DS treatment average duration until outcome”

    • “SN-DS treatment proportion failed (escalation to MDR, require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: DS treatment proportion of treatments completed + success

  • Code name: d_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.83

  • Appears in the databook

  • Used to compute:

    • “SP-DS treatment proportion of treatments completed + success”

    • “SN-DS treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: DS treatment proportion of deaths

  • Code name: d_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.06

  • Appears in the databook

  • Used to compute:

    • “SN-DS treatment proportion of deaths”

    • “DS treatment average duration until outcome”

    • “SP-DS treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: DS treatment average duration until outcome

  • Code name: dt_dur

  • Units/format: duration

  • Contributes to transitions from:

    • “SP-DS on treatment” to “Junction: SP-DS treatment outcome”

    • “SN-DS on treatment” to “Junction: SN-DS treatment outcome”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_duration*(1-0.5*(d_ltfu_div+d_sad_div+d_esc_div))/365

  • Depends on:

    • “DS treatment proportion failed (escalation to MDR, require re-diagnosis)”

    • “DS treatment proportion of loss to follow up (require re-diagnosis)”

    • “DS treatment proportion of deaths”

    • “DS treatment average duration of completed treatment”

  • Description:

  • Data entry guidance:

Parameter: SP-DS treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: pd_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-DS treatment outcome” to “SP-DS undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_ltfu_div

  • Depends on:

    • “DS treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SP-DS treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: pd_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-DS treatment outcome” to “SP-DS diagnosed but not on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_fail_div

  • Depends on:

    • “DS treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: SP-DS treatment proportion failed (escalation to MDR, require re-diagnosis)

  • Code name: pd_esc_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-DS treatment outcome” to “SP-MDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_esc_div

  • Depends on:

    • “DS treatment proportion failed (escalation to MDR, require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SP-DS treatment proportion of treatments completed + success

  • Code name: pd_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-DS treatment outcome” to “Completed treatment (active)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_succ_div

  • Depends on:

    • “DS treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: SP-DS treatment proportion of deaths

  • Code name: pd_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-DS treatment outcome” to “Sink: Cumulative TB deaths over simulation”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_sad_div

  • Depends on:

    • “DS treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: SN-DS treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: nd_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-DS treatment outcome” to “SN-DS undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_ltfu_div

  • Depends on:

    • “DS treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SN-DS treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: nd_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-DS treatment outcome” to “SN-DS diagnosed but not on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_fail_div

  • Depends on:

    • “DS treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: SN-DS treatment proportion failed (escalation to MDR, require re-diagnosis)

  • Code name: nd_esc_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-DS treatment outcome” to “SN-MDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_esc_div

  • Depends on:

    • “DS treatment proportion failed (escalation to MDR, require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SN-DS treatment proportion of treatments completed + success

  • Code name: nd_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-DS treatment outcome” to “Completed treatment (active)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_succ_div

  • Depends on:

    • “DS treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: SN-DS treatment proportion of deaths

  • Code name: nd_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-DS treatment outcome” to “Sink: Cumulative TB deaths over simulation”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: d_sad_div

  • Depends on:

    • “DS treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment number of initiations

  • Code name: m_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “SP-MDR treatment number of initiations”

    • “SN-MDR treatment number of initiations”

  • Description:

  • Data entry guidance:

Parameter: SP-MDR treatment number of initiations

  • Code name: pm_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SP-MDR diagnosed but not on treatment” to “SP-MDR on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_ntreat*(spmd/max(spmd+snmd, 1.))

  • Depends on:

    • “SN-MDR diagnosed but not on treatment”

    • “MDR treatment number of initiations”

    • “SP-MDR diagnosed but not on treatment”

  • Description:

  • Data entry guidance:

Parameter: SN-MDR treatment number of initiations

  • Code name: nm_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SN-MDR diagnosed but not on treatment” to “SN-MDR on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_ntreat*(snmd/max(spmd+snmd, 1.))

  • Depends on:

    • “SN-MDR diagnosed but not on treatment”

    • “MDR treatment number of initiations”

    • “SP-MDR diagnosed but not on treatment”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment average duration of completed treatment

  • Code name: m_duration

  • Units/format: days

  • Value restrictions: At least 1.0000

  • Default value: 540

  • Appears in the databook

  • Used to compute:

    • “MDR treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: m_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.147

  • Appears in the databook

  • Used to compute:

    • “SN-MDR treatment proportion of loss to follow up (require re-diagnosis)”

    • “MDR treatment average duration until outcome”

    • “SP-MDR treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: m_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.07

  • Appears in the databook

  • Used to compute:

    • “SN-MDR treatment proportion failed (no escalation, no need to re-diagnose)”

    • “SP-MDR treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment proportion failed (escalation to XDR, require re-diagnosis)

  • Code name: m_esc_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.02

  • Appears in the databook

  • Used to compute:

    • “SN-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”

    • “SP-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”

    • “MDR treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment proportion of treatments completed + success

  • Code name: m_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.634

  • Appears in the databook

  • Used to compute:

    • “SP-MDR treatment proportion of treatments completed + success”

    • “SN-MDR treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment proportion of deaths

  • Code name: m_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.129

  • Appears in the databook

  • Used to compute:

    • “SN-MDR treatment proportion of deaths”

    • “MDR treatment average duration until outcome”

    • “SP-MDR treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: MDR treatment average duration until outcome

  • Code name: mt_dur

  • Units/format: duration

  • Contributes to transitions from:

    • “SP-MDR on treatment” to “Junction: SP-MDR treatment outcome”

    • “SN-MDR on treatment” to “Junction: SN-MDR treatment outcome”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_duration*(1-0.5*(m_ltfu_div+m_sad_div+m_esc_div))/365

  • Depends on:

    • “MDR treatment proportion of loss to follow up (require re-diagnosis)”

    • “MDR treatment average duration of completed treatment”

    • “MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”

    • “MDR treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: SP-MDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: pm_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-MDR treatment outcome” to “SP-MDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_ltfu_div

  • Depends on:

    • “MDR treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SP-MDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: pm_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-MDR treatment outcome” to “SP-MDR diagnosed but not on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_fail_div

  • Depends on:

    • “MDR treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: SP-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)

  • Code name: pm_esc_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-MDR treatment outcome” to “SP-XDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_esc_div

  • Depends on:

    • “MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SP-MDR treatment proportion of treatments completed + success

  • Code name: pm_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-MDR treatment outcome” to “Completed treatment (active)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_succ_div

  • Depends on:

    • “MDR treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: SP-MDR treatment proportion of deaths

  • Code name: pm_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-MDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_sad_div

  • Depends on:

    • “MDR treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: SN-MDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: nm_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-MDR treatment outcome” to “SN-MDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_ltfu_div

  • Depends on:

    • “MDR treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SN-MDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: nm_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-MDR treatment outcome” to “SN-MDR diagnosed but not on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_fail_div

  • Depends on:

    • “MDR treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: SN-MDR treatment proportion failed (escalation to XDR, require re-diagnosis)

  • Code name: nm_esc_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-MDR treatment outcome” to “SN-XDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_esc_div

  • Depends on:

    • “MDR treatment proportion failed (escalation to XDR, require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SN-MDR treatment proportion of treatments completed + success

  • Code name: nm_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-MDR treatment outcome” to “Completed treatment (active)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_succ_div

  • Depends on:

    • “MDR treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: SN-MDR treatment proportion of deaths

  • Code name: nm_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-MDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: m_sad_div

  • Depends on:

    • “MDR treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: XDR treatment number of initiations

  • Code name: x_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Default value: None

  • Appears in the databook

  • Used to compute:

    • “SN-XDR treatment number of initiations”

    • “SP-XDR treatment number of initiations”

  • Description:

  • Data entry guidance:

Parameter: SP-XDR treatment number of initiations

  • Code name: px_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SP-XDR diagnosed but not on treatment” to “SP-XDR on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_ntreat*(spxd/max(spxd+snxd, 1.))

  • Depends on:

    • “XDR treatment number of initiations”

    • “SP-XDR diagnosed but not on treatment”

    • “SN-XDR diagnosed but not on treatment”

  • Description:

  • Data entry guidance:

Parameter: SN-XDR treatment number of initiations

  • Code name: nx_ntreat

  • Units/format: number

  • Value restrictions: At least 0

  • Contributes to transitions from:

    • “SN-XDR diagnosed but not on treatment” to “SN-XDR on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_ntreat*(snxd/max(spxd+snxd, 1.))

  • Depends on:

    • “XDR treatment number of initiations”

    • “SP-XDR diagnosed but not on treatment”

    • “SN-XDR diagnosed but not on treatment”

  • Description:

  • Data entry guidance:

Parameter: XDR treatment average duration of completed treatment

  • Code name: x_duration

  • Units/format: days

  • Value restrictions: At least 1.0000

  • Default value: 720

  • Appears in the databook

  • Used to compute:

    • “XDR treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: XDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: x_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.21

  • Appears in the databook

  • Used to compute:

    • “SN-XDR treatment proportion of loss to follow up (require re-diagnosis)”

    • “SP-XDR treatment proportion of loss to follow up (require re-diagnosis)”

    • “XDR treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: XDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: x_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.21

  • Appears in the databook

  • Used to compute:

    • “SN-XDR treatment proportion failed (no escalation, no need to re-diagnose)”

    • “SP-XDR treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: XDR treatment proportion of treatments completed + success

  • Code name: x_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.3

  • Appears in the databook

  • Used to compute:

    • “SP-XDR treatment proportion of treatments completed + success”

    • “SN-XDR treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: XDR treatment proportion of deaths

  • Code name: x_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Default value: 0.28

  • Appears in the databook

  • Used to compute:

    • “SP-XDR treatment proportion of deaths”

    • “SN-XDR treatment proportion of deaths”

    • “XDR treatment average duration until outcome”

  • Description:

  • Data entry guidance:

Parameter: XDR treatment average duration until outcome

  • Code name: xt_dur

  • Units/format: duration

  • Contributes to transitions from:

    • “SP-XDR on treatment” to “Junction: SP-XDR treatment outcome”

    • “SN-XDR on treatment” to “Junction: SN-XDR treatment outcome”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_duration*(1-0.5*(x_ltfu_div+x_sad_div))/365

  • Depends on:

    • “XDR treatment average duration of completed treatment”

    • “XDR treatment proportion of deaths”

    • “XDR treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SP-XDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: px_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-XDR treatment outcome” to “SP-XDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_ltfu_div

  • Depends on:

    • “XDR treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SP-XDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: px_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-XDR treatment outcome” to “SP-XDR diagnosed but not on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_fail_div

  • Depends on:

    • “XDR treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: SP-XDR treatment proportion of treatments completed + success

  • Code name: px_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-XDR treatment outcome” to “Completed treatment (active)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_succ_div

  • Depends on:

    • “XDR treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: SP-XDR treatment proportion of deaths

  • Code name: px_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SP-XDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_sad_div

  • Depends on:

    • “XDR treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: SN-XDR treatment proportion of loss to follow up (require re-diagnosis)

  • Code name: nx_ltfu_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-XDR treatment outcome” to “SN-XDR undiagnosed”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_ltfu_div

  • Depends on:

    • “XDR treatment proportion of loss to follow up (require re-diagnosis)”

  • Description:

  • Data entry guidance:

Parameter: SN-XDR treatment proportion failed (no escalation, no need to re-diagnose)

  • Code name: nx_fail_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-XDR treatment outcome” to “SN-XDR diagnosed but not on treatment”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_fail_div

  • Depends on:

    • “XDR treatment proportion failed (no escalation, no need to re-diagnose)”

  • Description:

  • Data entry guidance:

Parameter: SN-XDR treatment proportion of treatments completed + success

  • Code name: nx_succ_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-XDR treatment outcome” to “Completed treatment (active)”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_succ_div

  • Depends on:

    • “XDR treatment proportion of treatments completed + success”

  • Description:

  • Data entry guidance:

Parameter: SN-XDR treatment proportion of deaths

  • Code name: nx_sad_div

  • Units/format: proportion

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “Junction: SN-XDR treatment outcome” to “Sink: Cumulative TB deaths over simulation”

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: x_sad_div

  • Depends on:

    • “XDR treatment proportion of deaths”

  • Description:

  • Data entry guidance:

Parameter: SP-DS natural recovery rate

  • Code name: pd_rec

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SP-DS undiagnosed” to “Completed treatment (active)”

    • “SP-DS diagnosed but not on treatment” to “Completed treatment (active)”

  • Default value: 0.03

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SP-MDR natural recovery rate

  • Code name: pm_rec

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SP-MDR undiagnosed” to “Completed treatment (active)”

    • “SP-MDR diagnosed but not on treatment” to “Completed treatment (active)”

  • Default value: 0.03

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SP-XDR natural recovery rate

  • Code name: px_rec

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SP-XDR undiagnosed” to “Completed treatment (active)”

    • “SP-XDR diagnosed but not on treatment” to “Completed treatment (active)”

  • Default value: 0.03

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-DS natural recovery rate

  • Code name: nd_rec

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SN-DS undiagnosed” to “Completed treatment (active)”

    • “SN-DS diagnosed but not on treatment” to “Completed treatment (active)”

  • Default value: 0.16

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-MDR natural recovery rate

  • Code name: nm_rec

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SN-MDR undiagnosed” to “Completed treatment (active)”

    • “SN-MDR diagnosed but not on treatment” to “Completed treatment (active)”

  • Default value: 0.16

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-XDR natural recovery rate

  • Code name: nx_rec

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SN-XDR undiagnosed” to “Completed treatment (active)”

    • “SN-XDR diagnosed but not on treatment” to “Completed treatment (active)”

  • Default value: 0.16

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SP-DS death rate (untreated)

  • Code name: pd_term

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SP-DS undiagnosed” to “Sink: Cumulative TB deaths over simulation”

    • “SP-DS diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”

  • Default value: 0.12

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SP-MDR death rate (untreated)

  • Code name: pm_term

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SP-MDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”

    • “SP-MDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”

  • Default value: 0.12

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SP-XDR death rate (untreated)

  • Code name: px_term

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SP-XDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”

    • “SP-XDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”

  • Default value: 0.12

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-DS death rate (untreated)

  • Code name: nd_term

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SN-DS undiagnosed” to “Sink: Cumulative TB deaths over simulation”

    • “SN-DS diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”

  • Default value: 0.02

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-MDR death rate (untreated)

  • Code name: nm_term

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SN-MDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”

    • “SN-MDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”

  • Default value: 0.02

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: SN-XDR death rate (untreated)

  • Code name: nx_term

  • Units/format: probability

  • Value restrictions: 0-1.0000

  • Contributes to transitions from:

    • “SN-XDR undiagnosed” to “Sink: Cumulative TB deaths over simulation”

    • “SN-XDR diagnosed but not on treatment” to “Sink: Cumulative TB deaths over simulation”

  • Default value: 0.02

  • Appears in the databook

  • Description:

  • Data entry guidance:

Parameter: Disutility weight for active TB

  • Code name: disutility_weight

  • Units/format: None

  • Default value: 1

  • Appears in the databook

  • Used to compute:

    • “YLD rate”

  • Description:

  • Data entry guidance:

Parameter: YLD rate

  • Code name: yld_rate

  • Units/format: Number of people

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: disutility_weight*(spdu+spdd+spmu+spmd+spxu+spxd+sndu+sndd+snmu+snmd+snxu+snxd+spdt+spmt+spxt+sndt+snmt+snxt)

  • Depends on:

    • “SN-XDR undiagnosed”

    • “SN-MDR on treatment”

    • “Disutility weight for active TB”

    • “SP-XDR diagnosed but not on treatment”

    • “SP-XDR on treatment”

    • “SN-DS diagnosed but not on treatment”

    • “SP-DS on treatment”

    • “SN-DS on treatment”

    • “SP-DS diagnosed but not on treatment”

    • “SN-MDR diagnosed but not on treatment”

    • “SP-DS undiagnosed”

    • “SP-MDR undiagnosed”

    • “SP-XDR undiagnosed”

    • “SP-MDR on treatment”

    • “SN-XDR diagnosed but not on treatment”

    • “SN-DS undiagnosed”

    • “SN-MDR undiagnosed”

    • “SP-MDR diagnosed but not on treatment”

    • “SN-XDR on treatment”

  • Used to compute:

    • “DALYs”

  • Description:

  • Data entry guidance:

Parameter: Estimated number of years of life remaining

  • Code name: life_expectancy

  • Units/format: years

  • Default value: 30

  • Appears in the databook

  • Used to compute:

    • “YLL rate”

  • Description:

  • Data entry guidance:

Parameter: YLL rate

  • Code name: yll_rate

  • Units/format: Number of people

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: life_expectancy*:ddis

  • Depends on:

    • “Flow to Sink: Cumulative TB deaths over simulation”

    • “Estimated number of years of life remaining”

  • Used to compute:

    • “DALYs”

  • Description:

  • Data entry guidance:

Parameter: DALYs

  • Code name: daly_rate

  • Units/format: Number of people

  • Default value: None

  • Does not appear in the databook

  • This parameter’s value is computed by a function: yll_rate + yld_rate

  • Depends on:

    • “YLD rate”

    • “YLL rate”

  • Description:

  • Data entry guidance:

Interactions

Interaction: Preference weighting for one population interacting with another

  • Code name: w_ctc

  • Used to compute:

    • “Force of infection experienced by population”

  • Description:

  • Data entry guidance:

Plots

Plot: Population size

  • Definition: alive

  • Description:

Plot: Latent infections

  • Definition: lt_inf

  • Description:

Plot: Active TB

  • Definition: ac_inf

  • Description:

Plot: Active DS-TB

  • Definition: ds_inf

  • Description:

Plot: Active MDR-TB

  • Definition: mdr_inf

  • Description:

Plot: Active XDR-TB

  • Definition: xdr_inf

  • Description:

Plot: New active TB infections

  • Definition: {'New incident cases':['leu_act:flow','llu_act:flow', 'lex_act:flow', 'llx_act:flow', ]}

  • Description:

Plot: Activated TB infections inc. relapse and immigration

  • Definition: {'Incident cases':['p_div:flow','n_div:flow']}

  • Description:

Plot: Smear negative active TB

  • Definition: sn_inf

  • Description:

Plot: Smear positive active TB

  • Definition: sp_inf

  • Description:

Plot: Latent diagnoses

  • Definition: {'Latent diagnoses':['le_ntreat:flow', 'lx_ntreat:flow', 'll_ntreat:flow']}

  • Description:

Plot: New active TB diagnoses

  • Definition: {'Active TB diagnoses':['pd_ndiag:flow','pm_ndiag:flow','px_ndiag:flow','nd_ndiag:flow','nm_ndiag:flow','nx_ndiag:flow']}

  • Description:

Plot: Latent treatment

  • Definition: ltt_inf

  • Description:

Plot: Active treatment

  • Definition: num_treat

  • Description:

Plot: Latent prevalence

  • Definition: lt_prev

  • Description:

Plot: Active prevalence

  • Definition: ac_prev

  • Description:

Plot: DR prevalence

  • Definition: dr_prev

  • Description:

Plot: New active SP-DS diagnoses

  • Definition: pd_ndiag:flow

  • Description:

Plot: New active SP-MDR diagnoses

  • Definition: pm_ndiag:flow

  • Description:

Plot: New active SP-XDR diagnoses

  • Definition: px_ndiag:flow

  • Description:

Plot: New active SN-DS diagnoses

  • Definition: nd_ndiag:flow

  • Description:

Plot: New active SN-MDR diagnoses

  • Definition: nm_ndiag:flow

  • Description:

Plot: New active SN-XDR diagnoses

  • Definition: nx_ndiag:flow

  • Description:

Plot: DS number initiating treatment

  • Definition: {'Active DS-TB treatment initiation':['pd_ntreat:flow','nd_ntreat:flow']}

  • Description:

Plot: MDR number initiating treatment

  • Definition: {'Active MDR-TB treatment initiation':['pm_ntreat:flow','nm_ntreat:flow']}

  • Description:

Plot: XDR number initiating treatment

  • Definition: {'Active XDR-TB treatment initiation':['px_ntreat:flow','nx_ntreat:flow']}

  • Description:

Cascades

Cascade: TB treatment (including recovered)

  • Description:

  • Stages:

    • Active TB

      • Estimated number of people with active TB

    • Diagnosed

      • Known active TB infections

    • Treated

      • Active TB cases on treatment

Cascade: SP treatment

  • Description:

  • Stages:

    • Active SP-TB

      • Suspected SP infections

    • Diagnosed

      • Known SP-DS infections

      • Known SP-MDR infections

      • Known SP-XDR infections

    • Treated

      • SP-DS on treatment

      • SP-MDR on treatment

      • SP-XDR on treatment

Cascade: SN treatment

  • Description:

  • Stages:

    • Active SN-TB

      • Suspected SN infections

    • Diagnosed

      • Known SN-DS infections

      • Known SN-MDR infections

      • Known SN-XDR infections

    • Treated

      • SN-DS on treatment

      • SN-MDR on treatment

      • SN-XDR on treatment