Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing

Extensive non-pharmaceutical and physical distancing measures are currently the primary interventions against coronavirus disease 2019 (COVID-19) worldwide. It is therefore urgent to estimate the impact such measures are having. We introduce a Bayesian epidemiological model in which a proportion of...

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Detalles Bibliográficos
Autores principales: Anderson, Sean C., Edwards, Andrew M., Yerlanov, Madi, Mulberry, Nicola, Stockdale, Jessica E., Iyaniwura, Sarafa A., Falcao, Rebeca C., Otterstatter, Michael C., Irvine, Michael A., Janjua, Naveed Z., Coombs, Daniel, Colijn, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738161/
https://www.ncbi.nlm.nih.gov/pubmed/33270633
http://dx.doi.org/10.1371/journal.pcbi.1008274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738161/
https://www.ncbi.nlm.nih.gov/pubmed/33270633
http://dx.doi.org/10.1371/journal.pcbi.1008274

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