Cost-effectiveness of expanded latent TB infection testing and treatment: Lynn City, Massachusetts, USA.

Between October 2016 and March 2019, Lynn Community Health Center in Massachusetts implemented a targeted latent TB infection testing and treatment (TTT) program, increasing testing from a baseline of 1,200 patients tested to an average of 3,531 patients tested, or 9% of the population per year. We compared pre-implementation TTT, represented by the first two quarters of implementation data, to TTT, represented by 12 quarters of data. Time, diagnostic, and laboratory resources were estimated using micro-costing.

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

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.

Scaling Up Latent Tuberculosis Infection Testing and Treatment for Non-US Born Patients in a Federally Qualified Community Health Center.

In the United States (US), tuberculosis elimination strategies include scaling up latent tuberculosis infection (LTBI) diagnosis and treatment for persons at risk of progression to tuberculosis disease. The Massachusetts Department of Public Health partnered with Lynn Community Health Center to provide care to patients with LTBI who were born outside the US. The electronic health record was modified to facilitate collection of data elements for public health assessment of the LTBI care cascade.

Factors Associated with Development of Tuberculosis Disease Among Refugees, Massachusetts, 2008-2018.

Refugees and immigrants undergo tuberculosis screening prior to arrival in the United States. CDC Technical Instructions for screening changed in 2007. Our goal was to quantify TB disease in refugees after 2007 and identify risks for disease.

What Can Genetic Relatedness Tell Us About Risk Factors for Tuberculosis Transmission?

Background: To stop tuberculosis (TB), the leading infectious cause of death globally, we need to better understand transmission risk factors. Although many studies have identified associations between individual-level covariates and pathogen genetic relatedness, few have identified characteristics of transmission pairs or explored how closely covariates associated with genetic relatedness mirror those associated with transmission.

Methods: We simulated a TB-like outbreak with pathogen genetic data and estimated odds ratios (ORs) to correlate each covariate and genetic relatedness.