A Bayesian framework for modeling COVID-19 case numbers through longitudinal monitoring of SARS-CoV-2 RNA in wastewater

DOI10.1002/sim.10009zbMath1548.62304MaRDI QIDQ6630379

Casey R. J. Hubert, Jangwoo Lee, Kevin Frankowski, Steve E. Hrudey, Nicole Acosta, Xiaoli Pang, Michael D. Parkins, Xuewen Lu, Jon Meddings, Thierry Chekouo, Xiaotian Dai, Rhonda G. Clark, Norma Ruecker, Maria A. Bautista, Kristine Du, Jordan Hollman, Janine McCalder, Tyler Williamson, Gopal Achari, Danielle A. Southern, Barbara J. Waddell, Bonita E. Lee, M. Cathryn Ryan

Publication date: 31 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

functional data analysis SARS-CoV-2 Bayesian negative binomial regression Bayesian Poisson regression wastewater epidemiology

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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