# TB full model¶

**Name**: TB

**Description**: A full TB model including dynamics

## Contents¶

## 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