Modeling Interventions for Tuberculosis in the United States
The goal of the MITUS package is to provide a transmission dynamic model to investigate the impacts of various TB control strategies in the United States. The model has been calibrated to national and state level data for a select number of states. Built-in control strategies are in three broad categories:
- pre-defined scenarios
- programmatic changes to the LTBI and active TB diagnosis and care cascades
- targeted testing and treatment of customizable risk groups
In the MITUS model, a core TB dimension captures TB transmission, natural history, and treatment. Additional dimensions represent 1) TB progression risk, 2) mortality risk, 3) socio-economic disadvantage, 4) LTBI treatment history, 5) nativity (U.S.-born or non-U.S.–born), and 6) age-based differences in disease mechanisms and risk factor prevalence. Below we include a schematic of the mathematical model of tuberculosis epidemiology in the United States.
TB data
Reported TB incidence is collected from the publicly available data from the National Tuberculosis Surveillance System, which can be accessed through the Online Tuberculosis Information System. LTBI prevalence is based on an analysis of the 2011-2012 National Health and Nutrition Examination Survey by Woodruff et al.
Mortality data
Historical all cause mortality data are sourced from the Human Mortality Database Future projections of all cause mortality are sourced from the Social Security Administration Deaths with TB data are collected from National Center for Health Statistics Multiple Cause of Death Data
Population data
Population data is collected from the American Community Survey
Currently, MITUS is available for download with an authentication key. In order to gain access to the package, please the author at email with a detailed description of your interest in the package.
# install.packages("devtools")
devtools::install_github("PPML/MITUS", auth_token='TOKEN')