A hybrid stochastic model and its Bayesian identification for infectious disease screening in a university campus with application to massive COVID-19 screening at the University of Liège.

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作者： M,Arnst ^[1] ; G,Louppe ^[2] ; R,Van Hulle ^[3] ; L,Gillet ^[4] ; F,Bureau ^[5] ; V,Denoël ^[6]

作者单位： Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium. Electronic address: maarten.arnst@uliege.be. ^[1] Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium. Electronic address: g.louppe@uliege.be. ^[2] Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium. Electronic address: romain.vanhulle@uliege.be. ^[3] Immunology-Vaccinology, FARAH, Université de Liège, 4000 Liège, Belgium. Electronic address: l.gillet@uliege.be. ^[4] Laboratory of Cellular and Molecular Immunology, GIGA Institute, Université de Liège, 4000 Liège, Belgium. Electronic address: fabrice.bureau@uliege.be. ^[5] Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium. Electronic address: v.denoel@uliege.be. ^[6]

关键词 Bayesian inference COVID-19 Infectious disease transmission Screening testing Simulation-based inference Stochastic dynamics

主题词贝叶斯定理(Bayes Theorem);传染病(Communicable Diseases);人类(Humans);疾病大流行(Pandemics);回顾性研究(Retrospective Studies);大学(Universities)

DOI 10.1016/j.mbs.2022.108805

PMID 35306009

发布时间 2022-12-16

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