Nature Communications (Jan 2021)

Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil

  • Juliane F. Oliveira,
  • Daniel C. P. Jorge,
  • Rafael V. Veiga,
  • Moreno S. Rodrigues,
  • Matheus F. Torquato,
  • Nivea B. da Silva,
  • Rosemeire L. Fiaccone,
  • Luciana L. Cardim,
  • Felipe A. C. Pereira,
  • Caio P. de Castro,
  • Aureliano S. S. Paiva,
  • Alan A. S. Amad,
  • Ernesto A. B. F. Lima,
  • Diego S. Souza,
  • Suani T. R. Pinho,
  • Pablo Ivan P. Ramos,
  • Roberto F. S. Andrade

DOI
https://doi.org/10.1038/s41467-020-19798-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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Low-resource settings can face additional challenges in managing the COVID-19 pandemic. Here, the authors use mathematical modelling to investigate transmission in the state of Bahia, Brazil, and quantify control measures needed to prevent the hospital system becoming overwhelmed.