Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States.

ABSTRACT:

Background

In the United States, the tuberculosis (TB) disease burden and associated factors vary substantially across states. While public health agencies must choose how to deploy resources to combat TB and latent tuberculosis infection (LTBI), state-level modeling analyses to inform policy decisions have not been widely available.

Methods

We developed a mathematical model of TB epidemiology linked to a web-based user interface - Tabby2. The model is calibrated to epidemiological and demographic data for the United States, each U.S. state, and the District of Columbia. Users can simulate pre-defined scenarios describing approaches to TB prevention and treatment or create their own intervention scenarios. Location-specific results for epidemiological outcomes, service utili

SUBMITTER: Swartwood NA 

PROVIDER: S-EPMC10469407 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature