R01

Optimal Targeting for Individual and Population Level TB Prevention

Within the same community, TB risks can differ by several orders of magnitude due to differences in infectious exposure and immune competence, and TB control depends heavily on targeting services to those most at risk. Priority groups described by the CDC and other agencies capture major TB risk factors, but these broad categories include many individuals with low TB risk, and exclude others who would benefit from screening. Our long-term objective is to provide individually- and locally-tailored evidence on TB risks and intervention effects, to optimize TB prevention services.

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PPML

Prevention Policy Modeling Lab II

The Prevention Policy Modeling Lab evaluates the health impact, costs and cost-effectiveness of infectious disease treatment and prevention programs in the United States. We work closely with collaborators in the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP) at the Centers for Disease Control and Prevention to inform U.S. health policy and guide public health decision-making at national, state and local levels.

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consortium

TB Modeling and Analysis Consortium (TB MAC)

The TB Modelling and Analysis Consortium (TB MAC) aims to increase the effectiveness and efficiency of TB care and prevention policy and practice at global and country levels, and to contribute to a better understanding of the epidemiological and health system processes that generate TB outcomes.

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Projects

Additional Funded Projects

Dr. Menzies collaborates with both local and international organizations.

Current research projects are listed here.

If you are interested in learning more about these projects, please email Cindy Imai, Research Project Coordinator (cimai@hsph.harvard.edu).