About: We infer the infection fatality rate (IFR) of SARS-CoV-2 in Brazil by combining three datasets. We compute the prevalence via the population-based seroprevalence survey EPICOVID19-BR, which tested 89000 people in 3 stages over a period of 5 weeks. This randomized survey selected people of 133 cities (accounting for 35.5% of the Brazilian population) and tested them for IgM/IgG antibodies making use of a rapid test. We estimate the time delay between the development of antibodies and subsequent fatality using the public SIVEP-Gripe dataset. The number of fatalities is obtained using the public Painel Coronavirus dataset. The IFR is computed for each survey stage and 27 federal states. We infer a country-wide average IFR of 1.05% (95% CI: 0.96-1.17%) and find evidence for its increase starting in June 2020.   Goto Sponge  NotDistinct  Permalink

An Entity of Type : fabio:Abstract, within Data Space : covidontheweb.inria.fr associated with source document(s)

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  • We infer the infection fatality rate (IFR) of SARS-CoV-2 in Brazil by combining three datasets. We compute the prevalence via the population-based seroprevalence survey EPICOVID19-BR, which tested 89000 people in 3 stages over a period of 5 weeks. This randomized survey selected people of 133 cities (accounting for 35.5% of the Brazilian population) and tested them for IgM/IgG antibodies making use of a rapid test. We estimate the time delay between the development of antibodies and subsequent fatality using the public SIVEP-Gripe dataset. The number of fatalities is obtained using the public Painel Coronavirus dataset. The IFR is computed for each survey stage and 27 federal states. We infer a country-wide average IFR of 1.05% (95% CI: 0.96-1.17%) and find evidence for its increase starting in June 2020.
Subject
  • Brazil
  • Epidemiology
  • Death
  • Antibodies
  • Rates
  • Glycoproteins
  • BRICS nations
  • Member states of Mercosur
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