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作 者:Ashley N.Micuda Mark R.Anderson Irina Babayan Erin Bolger Logan Cantin Gillian Groth Ry Pressman-Cyna Charlotte Z.Reed Noah J.Rowe Mehdi Shafiee Benjamin Tam Marie C.Vidal Tianai Ye Ryan D.Martin
机构地区:[1]Department of Physics,Engineering Physics&Astronomy,Queen's University,Kingston,ON,Canada [2]Department of Medical Biophysics,Western University,London,ON,Canada [3]Department of Mathematics and Statistics,Queen's University,Kingston,ON,Canada [4]Department of Biology,Queen's University,Kingston,ON,Canada [5]Department of Electrical and Computer Engineering,Nazarbayev University,Nur-Sultan,Kazakhstan [6]Energetic Cosmos Laboratory,Nazarbayev University,Nur-Sultan,Kazakhstan [7]School of Computing,Queen's University,Kingston,ON,Canada [8]Department of Biomedical and Molecular Sciences,Queen's University,Kingston,ON,Canada [9]Department of Physics,University of Oxford,Oxford,United Kingdom [10]Department of Physics,Stanford University,Stanford,CA,United States
出 处:《Infectious Disease Modelling》2024年第1期234-244,共11页传染病建模(英文)
基 金:support of the Department of Physics,Engineering Physics&Astronomy at Queen's University through a research initiation grant,the Queen's University Arts and Science Research Fund;the Queen's University Bartlett Student Initiatives Fund;the Natural Sciences and Engineering Research Council of Canada,funding reference number SAPIN-2017-00023.
摘 要:This work introduces the Queen's University Agent-Based Outbreak Outcome Model(QUABOOM).This tool is an agent-based Monte Carlo simulation for modelling epidemics and informing public health policy.We illustrate the use of the model by examining capacity restrictions during a lockdown.We find that public health measures should focus on the few locations where many people interact,such as grocery stores,rather than the many locations where few people interact,such as small businesses.We also discuss a case where the results of the simulation can be scaled to larger population sizes,thereby improving computational efficiency.
关 键 词:Monte-carlo Agent-based epidemic modelling COVID-19 Small business capacity restrictions Public health Basic reproductive number
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