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Quantifying political influence on COVID-19 fatality in Brazil.
de Almeida, Leandro; Carelli, Pedro V; Cavalcanti, Nara Gualberto; do Nascimento, José-Dias; Felinto, Daniel.
  • de Almeida L; Departamento de Física, Univ. Federal de Pernambuco, Recife, Pernambuco, Brazil.
  • Carelli PV; Departamento de Física, Univ. Federal de Pernambuco, Recife, Pernambuco, Brazil.
  • Cavalcanti NG; Hospital das Clínicas, Univ. Federal de Pernambuco, Recife, Pernambuco, Brazil.
  • do Nascimento JD; Dep. de Fí-sica, Univ. Federal do Rio G. do Norte, Natal, Rio Grande do Norte, Brazil.
  • Felinto D; Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, United States of America.
PLoS One ; 17(7): e0264293, 2022.
Article in English | MEDLINE | ID: covidwho-1933205
ABSTRACT
The COVID-19 pandemic was severely aggravated in Brazil due to its politicization by the country's federal government. However, the impact of diffuse political forces on the fatality of an epidemic is notoriously difficult to quantify. Here we introduce a method to measure this effect in the Brazilian case, based on the inhomogeneous distribution throughout the national territory of political support for the federal government. This political support is quantified by the voting rates in the last general election in Brazil. This data is correlated with the fatality rates by COVID-19 in each Brazilian state as the number of deaths grows over time. We show that the correlation between fatality rate and political support grows as the government's misinformation campaign is developed. This led to the dominance of such political factor for the pandemic impact in Brazil in 2021. Once this dominance is established, this correlation allows for an estimation of the total number of deaths due to political influence as 350±70 thousand up to the end of 2021, corresponding to (57±11)% of the total number of deaths.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0264293

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0264293