This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences Directorate provides $242,192 to Lawrence Technological University for the development of data-driven mathematical modeling tools to incorporate population stratification by vaccination status and virus variants in infectious disease spread models. The two-year project, titled "LEAPS-MPS: Incorporating Stratification by Vaccination Status and Virus Variants in Mathematical Models of Infectious Disease Spread," will engage undergraduate students in applied mathematics research focused on COVID-19. Specifically, the university will develop compartmental models divided according to vaccination coverage levels, varying immunity periods, and virus variant competition dynamics. Waning immunity will be modeled using gamma-distributed delays, and case data from the Michigan Department of Health and Human Services will be used to parameterize and validate forecasting models. Distinct infectious compartments will represent virus variants with epidemiological parameter variances. The project aims to establish critical thresholds for variant persistence and dominance. User-friendly software packages will interface models with public health databases to provide insights into disease spread drivers under immunization schedules.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $242.2k | 4/19/22 |