Estimating disease transmission in a closed population under repeated testing

Wascher, Matthew; Schnell, Patrick M; Khuda Bukhsh, Wasiur Rahman; Quam, Mikkel B M; Tien, Joseph H; Rempała, Grzegorz A

Abstract

The article presents a novel statistical framework for COVID-19 transmission monitoring and control, which was developed and deployed at The Ohio State University main campus in Columbus during the Autumn term of 2020. Our approach effectively handles prevalence data with interval censoring and explicitly incorporates changes in transmission dynamics and human behaviour. To illustrate the methodology’s usefulness, we apply it to both synthetic and actual student SARS-CoV-2 testing data collected at the OSU Columbus campus in late 2020.

Citation

Wascher, M., Schnell, P. M., Khuda Bukhsh, W. R., Quam, M. B. M., Tien, J. H., & Rempała, G. A. (2024). Estimating disease transmission in a closed population under repeated testing. Journal of the Royal Statistical Society: Series C, 73(4), 972-989. https://doi.org/10.1093/jrsssc/qlae021

• Journal Article Type: Article
• Acceptance Date: Mar 22, 2024
• Online Publication Date: May 6, 2024
• Publication Date: Aug 1, 2024
• Deposit Date: Mar 22, 2024
• Publicly Available Date: Mar 22, 2024
• Journal: Journal of the Royal Statistical Society: Series C
• Print ISSN: 0035-9254
• Electronic ISSN: 1467-9876
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 73
• Issue: 4
• Pages: 972-989
• DOI: https://doi.org/10.1093/jrsssc/qlae021
• Public URL: https://nottingham-repository.worktribe.com/output/32752775
• Publisher URL: https://academic.oup.com/jrsssc/advance-article/doi/10.1093/jrsssc/qlae021/7665369