Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil
Incidence of COVID-19 has been high in parts of South America including Brazil, and information on effective intervention strategies is needed. Here, the authors use mathematical modelling to show that reductions in social distancing should be made gradually to avoid a severe second peak of cases.
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Nature Portfolio
2021
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oai:doaj.org-article:98e704ffe85746ffa86ad890c1cdcecf2021-12-02T10:49:32ZMathematical model of COVID-19 intervention scenarios for São Paulo—Brazil10.1038/s41467-020-20687-y2041-1723https://doaj.org/article/98e704ffe85746ffa86ad890c1cdcecf2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20687-yhttps://doaj.org/toc/2041-1723Incidence of COVID-19 has been high in parts of South America including Brazil, and information on effective intervention strategies is needed. Here, the authors use mathematical modelling to show that reductions in social distancing should be made gradually to avoid a severe second peak of cases.Osmar Pinto NetoDeanna M. KennedyJosé Clark ReisYiyu WangAna Carolina Brisola BrizziGustavo José ZambranoJoabe Marcos de SouzaWellington PedrosoRodrigo Cunha de Mello PedreiroBruno de Matos BrizziEllysson Oliveira AbinaderRenato Amaro ZângaroNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021) |
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Science Q Osmar Pinto Neto Deanna M. Kennedy José Clark Reis Yiyu Wang Ana Carolina Brisola Brizzi Gustavo José Zambrano Joabe Marcos de Souza Wellington Pedroso Rodrigo Cunha de Mello Pedreiro Bruno de Matos Brizzi Ellysson Oliveira Abinader Renato Amaro Zângaro Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil |
description |
Incidence of COVID-19 has been high in parts of South America including Brazil, and information on effective intervention strategies is needed. Here, the authors use mathematical modelling to show that reductions in social distancing should be made gradually to avoid a severe second peak of cases. |
format |
article |
author |
Osmar Pinto Neto Deanna M. Kennedy José Clark Reis Yiyu Wang Ana Carolina Brisola Brizzi Gustavo José Zambrano Joabe Marcos de Souza Wellington Pedroso Rodrigo Cunha de Mello Pedreiro Bruno de Matos Brizzi Ellysson Oliveira Abinader Renato Amaro Zângaro |
author_facet |
Osmar Pinto Neto Deanna M. Kennedy José Clark Reis Yiyu Wang Ana Carolina Brisola Brizzi Gustavo José Zambrano Joabe Marcos de Souza Wellington Pedroso Rodrigo Cunha de Mello Pedreiro Bruno de Matos Brizzi Ellysson Oliveira Abinader Renato Amaro Zângaro |
author_sort |
Osmar Pinto Neto |
title |
Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil |
title_short |
Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil |
title_full |
Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil |
title_fullStr |
Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil |
title_full_unstemmed |
Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil |
title_sort |
mathematical model of covid-19 intervention scenarios for são paulo—brazil |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/98e704ffe85746ffa86ad890c1cdcecf |
work_keys_str_mv |
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1718396607235358720 |