This Project Grant award of $537,861 from the National Institute of Allergy and Infectious Diseases (NIAID) under the Allergy and Infectious Diseases Research program (CFDA 93.855) supports research to extend statistical methods for analyzing infectious disease transmission dynamics. The key objectives are to: Develop efficient computational methods to incorporate pathogen genetic sequences into parameter estimation for pairwise survival analysis models, which can reduce bias and variance in epidemiological insights. Create methods for assessing goodness-of-fit and calculating secondary attack risks and infectiousness profiles from pairwise regression models, to improve the reliability of the epidemiological insights generated. Develop graphical and statistical approaches to assess confounding and selection bias in infectious disease transmission data, to enable more robust causal inference. This 5-year project, awarded to The Ohio State University, aims to advance statistical tools for understanding infectious disease dynamics and informing public health interventions.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $537.9k | 7/23/25 |