OpenABM-Covid19—An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing

SARS-CoV-2 has spread across the world, causing high mortality and unprecedented restrictions on social and economic activity. Policymakers are assessing how best to navigate through the ongoing epidemic, with computational models being used to predict the spread of infection and assess the impact o...

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書誌詳細
出版年:PLoS Comput Biol
主要な著者: Hinch, Robert, Probert, William J. M., Nurtay, Anel, Kendall, Michelle, Wymant, Chris, Hall, Matthew, Lythgoe, Katrina, Bulas Cruz, Ana, Zhao, Lele, Stewart, Andrea, Ferretti, Luca, Montero, Daniel, Warren, James, Mather, Nicole, Abueg, Matthew, Wu, Neo, Legat, Olivier, Bentley, Katie, Mead, Thomas, Van-Vuuren, Kelvin, Feldner-Busztin, Dylan, Ristori, Tommaso, Finkelstein, Anthony, Bonsall, David G., Abeler-Dörner, Lucie, Fraser, Christophe
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2021
主題:
Research Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8328312/
https://ncbi.nlm.nih.gov/pubmed/34252083
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1009146
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