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Análise de Sobrevivência dos Infectados pela COVID-19 no Estado do Rio Grande do Norte

Author

Listed:
  • Cavalcanti, Gabriella da Silva

Abstract

O presente estudo tem por objetivo investigar os determinantes da probabilidade e do tempo de sobrevivência dos infectados pelo novo coronavírus no estado do Rio Grande do Norte. Para tanto, foram utilizados os microdados oficiais de notificações de COVID-19 disponibilizados pela Secretaria de Estado da Saúde Pública (SESAP-RN) para estimar a função de sobrevivência, a partir do método de Kaplan-Meier (1958) e do modelo de risco de Cox (1972). Uma coorte de 13.738 casos confirmados de COVID-19 no estado entre as datas de 09/03/2020 a 12/06/2020 foi analisada. Os resultados apontaram uma queda na probabilidade de sobrevivência do infectado com o passar do tempo e que a idade, a preexistência de comorbidades como hipertensão arterial sistêmica, obesidade e doenças renais crônicas, a Região de Saúde e o bairro de residência influenciam a probabilidade de sobrevivência dos infectados pela COVID-19 no Rio Grande do Norte, corroborando com as evidências internacionais.

Suggested Citation

  • Cavalcanti, Gabriella da Silva, 2021. "Análise de Sobrevivência dos Infectados pela COVID-19 no Estado do Rio Grande do Norte," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), vol. 15(1), pages 156-182.
  • Handle: RePEc:ris:rberur:0118
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    Cited by:

    1. Marília Jesus Batista & Carolina Matteussi Lino & Carla Fabiana Tenani & Adriano Pires Barbosa & Maria do Rosário Dias de Oliveira Latorre & Evaldo Marchi, 2024. "COVID-19 Mortality among Hospitalized Patients: Survival, Associated Factors, and Spatial Distribution in a City in São Paulo, Brazil, 2020," IJERPH, MDPI, vol. 21(9), pages 1-14, September.

    More about this item

    Keywords

    COVID-19; Pandemia; Análise de sobrevivência;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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