JHEEM | JHU Computational Epidemiology

JHEEM

Johns Hopkins Epidemiological and Economic Model

HIV intervention and funding policy

Flexible HIV transmission modeling framework for intervention impact and policy evaluation across diverse geographic scales.

Scope: 32 cities / 30 states / 8 publications

Decision context

What the model helps evaluate.

How could HIV outcomes change if prevention, testing, treatment, or federal program funding shifted across U.S. jurisdictions?

Who it serves

Health departments, policy teams, and implementation researchers

Where it applies

U.S. cities, states, and Ending the HIV Epidemic priority jurisdictions

Model overview

How the project is used

JHEEM employs mathematical modeling to understand and predict HIV transmission and the impact of interventions across local populations. The simulated population is stratified by age, race, sex, sexual behavior, and drug use to capture population diversity. Calibrated to real-world HIV surveillance data from 32 U.S. cities under the Ending the HIV Epidemic Initiative, JHEEM enables precise projections of how interventions may influence future transmission and inform evidence-based public health strategies.

Published analyses, public summaries, and a scenario portal for policy discussion.

What teams can compare

Projected infections
Incidence change
Program impact
Scenario comparisons

Model features

Real-time intervention modeling
Testing, PrEP & viral suppression
Demographic targeting

Related work