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A beta regression analysis of COVID-19 mortality in Brazil.
Cribari-Neto, Francisco.
Affiliation
  • Cribari-Neto F; Department of Statistics, Federal University of Pernambuco, Recife, PE, 50670-901, Brazil.
Infect Dis Model ; 8(2): 309-317, 2023 Jun.
Article in En | MEDLINE | ID: mdl-36945696
Brazil was one of the countries most impacted by the COVID-19 pandemic, with a cumulative total of nearly 700,000 deaths by early 2023. The country's federative units were unevenly affected by the pandemic and adopted mitigation measures of different scopes and intensity. There was intense conflict between the federal government and state governments over the relevance and extent of such measures. We build a simple regression model with good predictive power on state COVID-19 mortality rates in Brazil. Our results reveal that the federative units' urbanization rate and per capita income are important for determining their mean mortality rate and that the number of physicians per 100,000 inhabitants is important for modeling the mortality rate precision. Based on the fitted model, we obtain approximations for the levels of administrative efficiency of local governments in dealing with the pandemic.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Journal: Infect Dis Model Year: 2023 Document type: Article Affiliation country: Brazil Country of publication: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Journal: Infect Dis Model Year: 2023 Document type: Article Affiliation country: Brazil Country of publication: China