Significant challenges exist in the control of HIV, viral hepatitis, STIs, and tuberculosis in the United States. Given the substantial current and needed public investments in prevention, diagnosis, and treatment, it is important to use high-quality information to guide decisions for resource allocation and targeting of disease prevention and control programs.
Models are crucial for informing these decisions, the impact of policies, and quantifying the economic and epidemiologic burden of these infections, in priority populations and at the national, state, and local levels. CDC has developed numerous models to guide public health for these issues, including those created with academic partners during the first NEEMA mechanism ("NEEMA 1.0''). Unanswered questions remain, necessitating additional modeling efforts that focus on emergent issues and priorities, while addressing the needs of target populations, addressing disparities, and at various geographic levels.
During NEEMA 1.0, the multi-institution Coalition for Applied Modeling for Prevention (CAMP) worked with CDC and local public health partners to create manuscripts and web tools, based on new and adapted models, in substantial excess of the required 40 papers and 1 web tool, with evidence of significant impact on policy and programs at CDC and other public health agencies.
In the new NEEMA 2.0 period, we will build on this successful platform, including additional modeling expertise, additional local and national public health advisory capacity, and conducting enhanced dissemination activities such that we will continue to exceed output expectations and amplify public health impact. Specifically, our purpose is to create and adapt models to improve public health decision-making and effectiveness at national, state, and local levels across four disease areas: HIV, viral hepatitis, STDs, and tuberculosis. The project will increase the availability of scientifically valid models, and associated manuscripts and web-accessible tools, to aid NCHHSTP and public health organizations to understand the costs of disease and interventions, allocate resources, and prioritize interventions. We estimate completing 40 manuscripts, distributed as 10 per disease area, detailing the construction, results, and applications of approximately 2-3 models per disease area. Furthermore, we will complete 1 508-compliant web tool with documentation. We expect these products to increase knowledge and the cost-effectiveness and impact of interventions at local, state, and national levels, and propose a number of mechanisms to ensure and monitor this impact.
CAMP comprises economic and infectious disease modelers, leadership from health departments and community organizations, and previous federal health leadership, with deep experience working with NCHHSTP and developing models for CDC and health departments. Our work is facilitated by dedicated administrative staff and a Dissemination Core. This team will work together with CDC partners to achieve the above outputs and outcomes across 3 planning models, constructing and improving models, and disseminating models, model documentation, results, and tools.