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Synchronized spread of COVID-19 in the cities of Bahia, Brazil

The COVID-19 pandemic, caused by the highly transmissible SARS-CoV-2 virus, has overloaded health systems in many contexts Conant and Wolfe (2008). Brazil has experienced more than 345,000 deaths, as of April/2021 Conant and Wolfe (2008), with dire consequences for the country’s public and private h...

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Detalles Bibliográficos
Autores principales: Saba, Hugo, Nascimento Filho, A.S., Miranda, José G.V., Rosário, Raphael S., Murari, Thiago B., Jorge, Eduardo M.F., Cambui, Elaine C.B., Souza, Márcia S.P.L., Silva, Ana C.F.N., Araújo, Márcio L.V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158455/
https://www.ncbi.nlm.nih.gov/pubmed/35671560
http://dx.doi.org/10.1016/j.epidem.2022.100587
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author Saba, Hugo
Nascimento Filho, A.S.
Miranda, José G.V.
Rosário, Raphael S.
Murari, Thiago B.
Jorge, Eduardo M.F.
Cambui, Elaine C.B.
Souza, Márcia S.P.L.
Silva, Ana C.F.N.
Araújo, Márcio L.V.
author_facet Saba, Hugo
Nascimento Filho, A.S.
Miranda, José G.V.
Rosário, Raphael S.
Murari, Thiago B.
Jorge, Eduardo M.F.
Cambui, Elaine C.B.
Souza, Márcia S.P.L.
Silva, Ana C.F.N.
Araújo, Márcio L.V.
author_sort Saba, Hugo
collection PubMed
description The COVID-19 pandemic, caused by the highly transmissible SARS-CoV-2 virus, has overloaded health systems in many contexts Conant and Wolfe (2008). Brazil has experienced more than 345,000 deaths, as of April/2021 Conant and Wolfe (2008), with dire consequences for the country’s public and private health systems. This paper aims to estimate the synchronization graph between the cities’ contagion waves from public COVID-19 data records. For this purpose, the Motif–Synchronization method Magwire et al. (2011) was applied to publicly available COVID-19 data records to determine the sequential relationship of occurrence of the waves among Bahia’s cities. We find synchronization between waves of infection between cities, suggesting diffusion of the disease in Bahia and a potential role for inter-city transportation Saba et al. (2018), Saba et al. (2014), Araújo et al. (2018) in the dynamics of this phenomenon McKee and Stuckler (2020), Chinazzi et al. (2020), Tizzoni et al. (2014). Our main contribution lies in the use of the Motif–Synchronization method applied to COVID-19 data records, with the results revealing a pattern of disease spread that extends beyond city boundaries.
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spelling pubmed-91584552022-06-02 Synchronized spread of COVID-19 in the cities of Bahia, Brazil Saba, Hugo Nascimento Filho, A.S. Miranda, José G.V. Rosário, Raphael S. Murari, Thiago B. Jorge, Eduardo M.F. Cambui, Elaine C.B. Souza, Márcia S.P.L. Silva, Ana C.F.N. Araújo, Márcio L.V. Epidemics Article The COVID-19 pandemic, caused by the highly transmissible SARS-CoV-2 virus, has overloaded health systems in many contexts Conant and Wolfe (2008). Brazil has experienced more than 345,000 deaths, as of April/2021 Conant and Wolfe (2008), with dire consequences for the country’s public and private health systems. This paper aims to estimate the synchronization graph between the cities’ contagion waves from public COVID-19 data records. For this purpose, the Motif–Synchronization method Magwire et al. (2011) was applied to publicly available COVID-19 data records to determine the sequential relationship of occurrence of the waves among Bahia’s cities. We find synchronization between waves of infection between cities, suggesting diffusion of the disease in Bahia and a potential role for inter-city transportation Saba et al. (2018), Saba et al. (2014), Araújo et al. (2018) in the dynamics of this phenomenon McKee and Stuckler (2020), Chinazzi et al. (2020), Tizzoni et al. (2014). Our main contribution lies in the use of the Motif–Synchronization method applied to COVID-19 data records, with the results revealing a pattern of disease spread that extends beyond city boundaries. The Author(s). Published by Elsevier B.V. 2022-06 2022-06-01 /pmc/articles/PMC9158455/ /pubmed/35671560 http://dx.doi.org/10.1016/j.epidem.2022.100587 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Saba, Hugo
Nascimento Filho, A.S.
Miranda, José G.V.
Rosário, Raphael S.
Murari, Thiago B.
Jorge, Eduardo M.F.
Cambui, Elaine C.B.
Souza, Márcia S.P.L.
Silva, Ana C.F.N.
Araújo, Márcio L.V.
Synchronized spread of COVID-19 in the cities of Bahia, Brazil
title Synchronized spread of COVID-19 in the cities of Bahia, Brazil
title_full Synchronized spread of COVID-19 in the cities of Bahia, Brazil
title_fullStr Synchronized spread of COVID-19 in the cities of Bahia, Brazil
title_full_unstemmed Synchronized spread of COVID-19 in the cities of Bahia, Brazil
title_short Synchronized spread of COVID-19 in the cities of Bahia, Brazil
title_sort synchronized spread of covid-19 in the cities of bahia, brazil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158455/
https://www.ncbi.nlm.nih.gov/pubmed/35671560
http://dx.doi.org/10.1016/j.epidem.2022.100587
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