Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub.

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作者： Jiangzhuo,Chen ^[1] ; Parantapa,Bhattacharya ^[2] ; Stefan,Hoops ^[2] ; Dustin,Machi ^[2] ; Abhijin,Adiga ^[2] ; Henning,Mortveit ^[3] ; Srinivasan,Venkatramanan ^[2] ; Bryan,Lewis ^[2] ; Madhav,Marathe ^[4]

作者单位： Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA. Electronic address: chenj@virginia.edu. ^[1] Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA. ^[2] Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA; Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, USA. ^[3] Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA; Department of Computer Science, University of Virginia, Charlottesville, VA, USA. Electronic address: marathe@virginia.edu. ^[4]

关键词 Agent-based model COVID-19 Scenario Modeling Hub Complexity Digital twin Heterogeneity

主题词人类(Humans);美国(United States);系统分析(Systems Analysis);疾病大流行(Pandemics)

DOI 10.1016/j.epidem.2024.100779

PMID 39024889

发布时间 2024-09-15

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