Research Project
Computational modeling for HCV vaccine trial design and optimal vaccine-based combination interventions
Data-driven agent-based models helping to eliminate viral hepatitis infection as a public health threat
- Principal Investigator
- Boodram, Basmattee
- Research Area(s)
- Health Data & Informatics
- Infectious Diseases
- Funding Source
- NIH R01AI158666
Abstract
University of Illinois Chicago (PI: Boodram), in partnership with Loyola University Chicago (PI: Dahari) and University of Chicago (PI: Ozik), proposes to develop comprehensive, empirical, data-driven agent-based models for persons who inject drugs (PWID) using Chicago and San Francisco PWID populations, contrasting geographies for high and low hepatitis C incidence. The models would assist hepatitis C vaccine-trial sponsors in designing and evaluating clinical trials and enable policy makers to identify the most effective vaccine-based combination intervention strategies for elimination of hepatitis C that includes direct-acting antivirals and engagement in harm reduction, such as medications for opioid use disorder and syringe service programs. View project details on the NIH website