National Center for HIV, Viral Hepatitis, STD, and TB Prevention Epidemiologic and Economic Modeling Agreement (NEEMA)

For Public Health

Key points

  • Modeling epidemics and economics of disease provides useful information on how to prevent the greatest amount of disease with existing resources.
  • Learn how CDC supports modeling activities to inform and, ultimately, improve the effectiveness of public health programs and activities through NEEMA.

Background

NEEMA logo of a tree against a background with generic data graphics depicting graphs and measurements.
NCHHSTP Epidemiologic and Economic Modeling Agreement (NEEMA).

Modeling epidemics and economics of disease provides useful information on how to prevent the greatest amount of disease with existing resources. CDC is supporting modeling activities to inform and, ultimately, improve the effectiveness of public health programs and activities through the NCHHSTP Epidemiologic and Economic Modeling Agreements (NEEMA).

The initial five-year cooperative agreement, NEEMA 1.0, was awarded to the following recipients: Emory University Coalition for Applied Modeling for Prevention (CAMP), Harvard University Prevention Policy Modeling Lab, and the University of California at San Francisco Consortium to Assess Prevention Economics (CAPE).

The second five-year cooperative agreement, NEEMA 2.0, was awarded to the following recipients: University at Albany, State University of New York - Coalition for Applied Modeling for Prevention and Stanford University - Prevention Policy Modeling Lab.

The current five-year cooperative agreement, NEEMA 3.0 (2024-2029), was awarded to the following recipients: Emory University - Coalition for Applied Modeling for Prevention and Stanford University - Prevention Policy Modeling Lab.

Priorities

  • Projections of morbidity and mortality
  • Burden and costs of diseases
  • Costs and cost-effectiveness of interventions
  • Population-level program impact
  • Optimized resource allocation

CDC NEEMA Workgroup

  • NCHHSTP/OD: Michelle Van Handel, Taiwo Abimbola, Eduardo Valverde, Dawn Pepin, Kathryn Brookmeyer, Sharonjit Sagoo, Angie Estadt, Elianna Paljug, Terrika Barham
  • Division of HIV Prevention: Marcus Durham, Kevin Delaney, Robin McGowan, Kimberly Evans, Sean Griffing, Allison Lale, John Feelemyer, Dita Broz
  • Division of Viral Hepatitis: Amanda Honeycutt, Emily Cartwright, Nate Furukawa, Talia Pindyck, Min Kim, Monica Adams, Lindsey Sizemore, Amy Board, Hasan Symum, Shannon Casillas, Clarisse Tsang, Brooke Hoots, Amy Sandul
  • Division of Tuberculosis Elimination: Andrew Hill, Garrett Asay, Carla Winston, Joan Mangan
  • Division of Sexually Transmitted Disease Prevention: Harrell Chesson, Sam Eppink, Ian Spicknall, Patrick Clay, John Papp, Jessica Penney, Kate Miele, Samantha Williams
  • Cross-Center Collaborators: Julie ODonnell, Stephen Liu

NEEMA 3.0 Recipients

Coalition for Applied Modeling for Prevention (CAMP)

Principal Investigator: Dr. Heather Bradley (Associate Professor of Epidemiology) – Rollins School of Public Health, Emory University

CAMP comprises epidemiologists, economic and infectious disease modelers, clinicians, and economists located at Emory University, Johns Hopkins University, the University of Washington, and Oregon Health Sciences University

CAMP's work is informed and enhanced by members of the National Policy Advisory Group and the Public Health Advisory Group, comprised of leaders from national and local institutions, state and local health departments, and community-based organizations.

Prevention Policy Modeling Lab (PPML)

Principal Investigator: Joshua A Salomon (Professor of Health Policy) – Department of Health Policy at Stanford School of Medicine, Stanford University.

PPML uses simulation modeling, statistics, epidemiology, economics and decision analysis to evaluate the health impact, costs and cost-effectiveness of strategies for prevention and treatment of infectious diseases in the United States.

The PPML team includes epidemiologists, infectious disease modelers, clinicians, health economists, statisticians and public health practitioners from Stanford University, Harvard University, Boston Medical Center, Brown University, Boston University, Yale University, University of Michigan, University of Miami, University of California San Francisco, University of California San Diego, Massachusetts Department of Public Health, Santa Clara County Department of Public Health.

Contacts

Taiwo Abimbola, Program and Performance Improvement Office (PPIO)