Predicting and forecasting the impact of local outbreaks of COVID-19: use of SEIR-D quantitative epidemiological modelling for healthcare demand and capacity

BACKGROUND: The world is experiencing local/regional hotspots and spikes in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19 disease. We aimed to formulate an applicable epidemiological model to accurately predict and forecast the impact of local outbreaks of C...

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Detalles Bibliográficos
Autores principales: Campillo-Funollet, Eduard, Van Yperen, James, Allman, Phil, Bell, Michael, Beresford, Warren, Clay, Jacqueline, Dorey, Matthew, Evans, Graham, Gilchrist, Kate, Memon, Anjum, Pannu, Gurprit, Walkley, Ryan, Watson, Mark, Madzvamuse, Anotida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Covid-19
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407866/
https://www.ncbi.nlm.nih.gov/pubmed/34244764
http://dx.doi.org/10.1093/ije/dyab106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407866/
https://www.ncbi.nlm.nih.gov/pubmed/34244764
http://dx.doi.org/10.1093/ije/dyab106

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