Covasim: An agent-based model of COVID-19 dynamics and interventions.

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Title: Covasim: An agent-based model of COVID-19 dynamics and interventions.
Authors: Kerr CC; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Stuart RM; Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.; Burnet Institute, Melbourne, Victoria, Australia., Mistry D; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Abeysuriya RG; Burnet Institute, Melbourne, Victoria, Australia., Rosenfeld K; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Hart GR; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Núñez RC; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Cohen JA; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Selvaraj P; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Hagedorn B; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., George L; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Jastrzębski M; GitHub, Inc., San Francisco, California, United States of America., Izzo AS; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Fowler G; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Palmer A; Burnet Institute, Melbourne, Victoria, Australia., Delport D; Burnet Institute, Melbourne, Victoria, Australia., Scott N; Burnet Institute, Melbourne, Victoria, Australia., Kelly SL; Burnet Institute, Melbourne, Victoria, Australia., Bennette CS; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Wagner BG; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Chang ST; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Oron AP; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Wenger EA; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Panovska-Griffiths J; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Wolfson Centre for Mathematical Biology and The Queen's College, University of Oxford, Oxford, United Kingdom., Famulare M; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America., Klein DJ; Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2021 Jul 26; Vol. 17 (7), pp. e1009149. Date of Electronic Publication: 2021 Jul 26 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1009149