The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil
Abstract Although international airports served as main entry points for SARS-CoV-2, the factors driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain mostly unknown. Here we show that three major factors influenced the early macro-geographical dynamics of COVID-19 in Br...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a290779e35174146912e996eedd7a293 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:a290779e35174146912e996eedd7a293 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:a290779e35174146912e996eedd7a2932021-12-02T16:05:54ZThe impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil10.1038/s41598-021-92263-32045-2322https://doaj.org/article/a290779e35174146912e996eedd7a2932021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92263-3https://doaj.org/toc/2045-2322Abstract Although international airports served as main entry points for SARS-CoV-2, the factors driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain mostly unknown. Here we show that three major factors influenced the early macro-geographical dynamics of COVID-19 in Brazil. Mathematical modeling revealed that the “super-spreading city” of São Paulo initially accounted for more than 85% of the case spread in the entire country. By adding only 16 other spreading cities, we accounted for 98–99% of the cases reported during the first 3 months of the pandemic in Brazil. Moreover, 26 federal highways accounted for about 30% of SARS-CoV-2’s case spread. As cases increased in the Brazilian interior, the distribution of COVID-19 deaths began to correlate with the allocation of the country’s intensive care units (ICUs), which is heavily weighted towards state capitals. Thus, severely ill patients living in the countryside had to be transported to state capitals to access ICU beds, creating a “boomerang effect” that contributed to skew the distribution of COVID-19 deaths. Therefore, if (i) a lockdown had been imposed earlier on in spreader-capitals, (ii) mandatory road traffic restrictions had been enforced, and (iii) a more equitable geographic distribution of ICU beds existed, the impact of COVID-19 in Brazil would be significantly lower.Miguel A. L. NicolelisRafael L. G. RaimundoPedro S. PeixotoCecilia S. AndreazziNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Miguel A. L. Nicolelis Rafael L. G. Raimundo Pedro S. Peixoto Cecilia S. Andreazzi The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil |
description |
Abstract Although international airports served as main entry points for SARS-CoV-2, the factors driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain mostly unknown. Here we show that three major factors influenced the early macro-geographical dynamics of COVID-19 in Brazil. Mathematical modeling revealed that the “super-spreading city” of São Paulo initially accounted for more than 85% of the case spread in the entire country. By adding only 16 other spreading cities, we accounted for 98–99% of the cases reported during the first 3 months of the pandemic in Brazil. Moreover, 26 federal highways accounted for about 30% of SARS-CoV-2’s case spread. As cases increased in the Brazilian interior, the distribution of COVID-19 deaths began to correlate with the allocation of the country’s intensive care units (ICUs), which is heavily weighted towards state capitals. Thus, severely ill patients living in the countryside had to be transported to state capitals to access ICU beds, creating a “boomerang effect” that contributed to skew the distribution of COVID-19 deaths. Therefore, if (i) a lockdown had been imposed earlier on in spreader-capitals, (ii) mandatory road traffic restrictions had been enforced, and (iii) a more equitable geographic distribution of ICU beds existed, the impact of COVID-19 in Brazil would be significantly lower. |
format |
article |
author |
Miguel A. L. Nicolelis Rafael L. G. Raimundo Pedro S. Peixoto Cecilia S. Andreazzi |
author_facet |
Miguel A. L. Nicolelis Rafael L. G. Raimundo Pedro S. Peixoto Cecilia S. Andreazzi |
author_sort |
Miguel A. L. Nicolelis |
title |
The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil |
title_short |
The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil |
title_full |
The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil |
title_fullStr |
The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil |
title_full_unstemmed |
The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil |
title_sort |
impact of super-spreader cities, highways, and intensive care availability in the early stages of the covid-19 epidemic in brazil |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/a290779e35174146912e996eedd7a293 |
work_keys_str_mv |
AT miguelalnicolelis theimpactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil AT rafaellgraimundo theimpactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil AT pedrospeixoto theimpactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil AT ceciliasandreazzi theimpactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil AT miguelalnicolelis impactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil AT rafaellgraimundo impactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil AT pedrospeixoto impactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil AT ceciliasandreazzi impactofsuperspreadercitieshighwaysandintensivecareavailabilityintheearlystagesofthecovid19epidemicinbrazil |
_version_ |
1718385165851426816 |