Outputs (4)

Towards Inferring Network Properties from Epidemic Data (2023)
Journal Article
Kiss, I. Z., Berthouze, L., & KhudaBukhsh, W. R. (2024). Towards Inferring Network Properties from Epidemic Data. Bulletin of Mathematical Biology, 86(1), Article 6. https://doi.org/10.1007/s11538-023-01235-3

Epidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field... Read More about Towards Inferring Network Properties from Epidemic Data.

Dynamical Survival Analysis for Epidemic Modeling (2023)
Book Chapter
Rempała, G. A., & KhudaBukhsh, W. R. (2023). Dynamical Survival Analysis for Epidemic Modeling. In Handbook of Visual, Experimental and Computational Mathematics: Bridges through Data (1-17). Springer. https://doi.org/10.1007/978-3-030-93954-0_31-1

This chapter describes the dynamical survival analysis (DSA) method for modeling infectious diseases. This method provides a powerful framework for analyzing compartmental models of large epidemics, such as the popular susceptible-infected-recovered... Read More about Dynamical Survival Analysis for Epidemic Modeling.

COVID-19 dynamics in an Ohio prison (2023)
Journal Article
KhudaBukhsh, W. R., Khalsa, S. K., Kenah, E., Rempała, G. A., & Tien, J. H. (2023). COVID-19 dynamics in an Ohio prison. Frontiers in Public Health, 11, Article 1087698. https://doi.org/10.3389/fpubh.2023.1087698

Incarcerated individuals are a highly vulnerable population for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Understanding the transmission of respiratory infections within prisons and between prisons and surrounding c... Read More about COVID-19 dynamics in an Ohio prison.

Projecting COVID-19 cases and hospital burden in Ohio (2023)
Journal Article
KhudaBukhsh, W. R., Bastian, C. D., Wascher, M., Klaus, C., Sahai, S. Y., Weir, M. H., Kenah, E., Root, E., Tien, J. H., & Rempała, G. A. (2023). Projecting COVID-19 cases and hospital burden in Ohio. Journal of Theoretical Biology, 561, Article 111404. https://doi.org/10.1016/j.jtbi.2022.111404

As the Coronavirus 2019 disease (COVID-19) started to spread rapidly in the state of Ohio, the Ecology, Epidemiology and Population Health (EEPH) program within the Infectious Diseases Institute (IDI) at The Ohio State University (OSU) took the initi... Read More about Projecting COVID-19 cases and hospital burden in Ohio.