Current and future trends in tuberculosis incidence in New York City: a dynamic modelling analysis.

Background: After steady decline since the 1990s, tuberculosis (TB) incidence in New York City (NYC) and the United States (US) has flattened. The reasons for this trend and the implications for the future trajectory of TB in the US remain unclear.

Methods: We developed a compartmental model of TB in NYC, parameterized with detailed epidemiological data.

Tuberculosis disease among Mexico-born individuals living in New York City, 2001-2014.

Setting: Tuberculosis (TB) has decreased substantially in New York City (NYC), but progress has slowed in recent years. Continued declines will require novel approaches tailored to foreign-born populations.

Objective: To describe TB epidemiology among the Mexico-born population of NYC to inform interventions in this community.

Diabetes Among People With Tuberculosis, HIV Infection, Viral Hepatitis B and C, and STDs in New York City, 2006-2010.

Matching infectious disease surveillance data has become a routine activity for many health departments. With the increasing focus on chronic disease, it is also useful to explore opportunities to match infectious and chronic disease surveillance data. To understand the burden of diabetes in New York City (NYC), adults with select infectious diseases (tuberculosis, HIV infection, hepatitis B, hepatitis C, chlamydial infection, gonorrhea, and syphilis) reported between 2006 and 2010 were matched with hemoglobin A1c results reported in the same period.

Bridging the gap between evidence and policy for infectious diseases: How models can aid public health decision-making.

The dominant approach to decision-making in public health policy for infectious diseases relies heavily on expert opinion, which often applies empirical evidence to policy questions in a manner that is neither systematic nor transparent. Although systematic reviews are frequently commissioned to inform specific components of policy (such as efficacy), the same process is rarely applied to the full decision-making process. Mathematical models provide a mechanism through which empirical evidence can be methodically and transparently integrated to address such questions.

Treatment for Tuberculosis Infection With 3 Months of Isoniazid and Rifapentine in New York City Health Department Clinics.

Background: Completion of treatment for tuberculosis infection (TBI) with 9 months of self-administered daily isoniazid (9H) has historically been low (<50%) among New York City (NYC) Health Department tuberculosis clinic patients. Treatment of TBI with 3 months of once-weekly isoniazid and rifapentine (3HP) administered under directly observed therapy (DOT) might increase treatment acceptance and completion.

Methods: The study population included patients diagnosed with TBI at 2 NYC Health Department tuberculosis clinics from January 2013 through November 2013.