CDC Testing Strategy Analysis

CDC Testing Impact Model

Evaluate epidemiological impacts of CDC-funded HIV testing program modifications across cessation, interruption, and restoration scenarios.

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Testing Scenarios

Model cessation, brief interruption, and prolonged interruption of CDC testing programs

Quantify epidemiological consequences of different funding cut scenarios

Strategic insights for CDC testing program resource allocation and planning

Testing Scenarios

Model cessation, brief interruption, and prolonged interruption of CDC testing programs

Impact Assessment

Quantify epidemiological consequences of different funding cut scenarios

Policy Analysis

Strategic insights for CDC testing program resource allocation and planning

Advanced Testing Strategy Modeling

Epidemiological modeling of HIV testing program modifications and their population-level health impacts across diverse intervention scenarios.

Research Funding
& Institutional Support

This research is supported by grants from the National Institute of Mental Health, the National Institute of Allergy and Infectious Diseases, and the National Institute on Minority Health and Health Disparities.

K08MH118094
K01AI138853
P30-AI094189
R01MD018539
JH

Johns Hopkins Bloomberg School of Public Health

Computational Epidemiology Research Group

Advancing mathematical modeling for HIV prevention and control

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Launch the CDC testing strategy analysis tool to explore program impact scenarios.

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