Modeling the early evolution of the COVID-19 in Brazil: Results from a Susceptible–Infectious–Quarantined–Recovered (SIQR) model

Nuno Crokidakis ()
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Nuno Crokidakis: Instituto de Física, Universidade Federal Fluminense, Niterói/RJ, Brazil

International Journal of Modern Physics C (IJMPC), 2020, vol. 31, issue 10, 1-7

Abstract: The world evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-Cov2 or simply COVID-19) led the World Health Organization to declare it a pandemic. The disease appeared in China in December 2019, and it has spread fast around the world, especially in European countries like Italy and Spain. The first reported case in Brazil was recorded in February 26, and after that the number of cases grew fast. In order to slow down the initial growth of the disease through the country, confirmed positive cases were isolated to not transmit the disease. To better understand the early evolution of COVID-19 in Brazil, we apply a Susceptible–Infectious–Quarantined–Recovered (SIQR) model to the analysis of data from the Brazilian Department of Health, obtained from February 26, 2020 through March 25, 2020. Based on analytical and numerical results, as well on the data, the basic reproduction number is estimated to R0=5.25. In addition, we estimate that the ratio between unidentified infectious individuals and confirmed cases at the beginning of the epidemic is about 10, in agreement with previous studies. We also estimated the epidemic doubling time to be 2.72 days.

Keywords: Dynamics of social systems; collective phenomena; data analysis (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0129183120501351

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