Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections.

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作者： Przemyslaw,Porebski ^[1] ; Srinivasan,Venkatramanan ^[2] ; Aniruddha,Adiga ^[2] ; Brian,Klahn ^[2] ; Benjamin,Hurt ^[2] ; Mandy L,Wilson ^[2] ; Jiangzhuo,Chen ^[2] ; Anil,Vullikanti ^[3] ; Madhav,Marathe ^[3] ; Bryan,Lewis ^[2]

作者单位： Biocomplexity Institute & Initiative, University of Virginia, Charlottesville, 22911, VA, USA. Electronic address: pjp2b@virginia.edu. ^[1] Biocomplexity Institute & Initiative, University of Virginia, Charlottesville, 22911, VA, USA. ^[2] Biocomplexity Institute & Initiative, University of Virginia, Charlottesville, 22911, VA, USA; Department of Computer Science, University of Virginia, Charlottesville, 22904, VA, USA. ^[3]

关键词 COVID-19 Compartmental model Population immunity Scenario projections Transmission dynamics Variant characteristics

主题词人类(Humans);美国(United States);疾病大流行(Pandemics);弗吉尼亚(Virginia);预测(Forecasting)

DOI 10.1016/j.epidem.2024.100761

PMID 38555667

发布时间 2024-09-23

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