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Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil
Gimenez Junior, G A A; Zilli, P K; Silva, L F F; Pasqualucci, C A; Campo, A B; Suemoto, C K.
  • Gimenez Junior, G A A; Universidade de São Paulo. São Paulo. BR
  • Zilli, P K; Pesquisador independente. São Paulo. BR
  • Silva, L F F; Universidade de São Paulo. Faculdade de Medicina. São Paulo. BR
  • Pasqualucci, C A; Universidade de São Paulo. Faculdade de Medicina. São Paulo. BR
  • Campo, A B; Instituto Federal de São Paulo. Departamento de Engenharia Elétrica. São Paulo. BR
  • Suemoto, C K; Universidade de São Paulo. Faculdade de Medicina. São Paulo. BR
Braz. j. med. biol. res ; 54(4): e10766, 2021. tab, graf
Article in English | LILACS | ID: biblio-1153540
ABSTRACT
The novel Coronavirus disease (COVID-19) is responsible for thousands of deaths worldwide, especially in Brazil, currently one of the leading countries in number of infections and deaths. The beginning of the COVID-19 epidemic in Brazil is uncertain due to the low number of tests done in the country. The excess number of deaths can suggest the beginning of the pandemic in this context. In this article, we used an autoregressive integrated moving average (ARIMA) model to investigate possible excesses in the number of deaths processed by the São Paulo Autopsy Service according to different causes of deaths all-cause, cardiovascular, and pulmonary causes. We calculated the expected number of deaths using data from 2019 to 2020 (n=17,011), and investigated different seasonal patterns using harmonic dynamic regression with Fourier terms with residuals modeled by an ARIMA method. We did not find any abnormalities in the predicted number of deaths and the real values in the first months of 2020. We found an increase in the number of deaths only by March 20, 2020, right after the first COVID-19 confirmed case in the city of São Paulo, which occurred on March 16, 2020.
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Full text: Available Index: LILACS (Americas) Main subject: Coronavirus / COVID-19 Type of study: Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Instituto Federal de São Paulo/BR / Pesquisador independente/BR / Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Coronavirus / COVID-19 Type of study: Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Instituto Federal de São Paulo/BR / Pesquisador independente/BR / Universidade de São Paulo/BR