# TB full model **Name**: TB **Description**: A full TB model including dynamics ## Contents - [Compartments](#compartments) - [Characteristics](#characteristics) - [Parameters](#parameters) - [Interactions](#interactions) - [Plots](#plots) - [Cascades](#cascades) ## 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: TB-related deaths - Definition: `:ddis` - 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