IDEAS home Printed from https://ideas.repec.org/a/ris/rberur/0118.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://revistaaber.org.br/rberu/article/view/715
    File Function: Full text
    Download Restriction: ris
    ---><---

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:rberur:0118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Inácio Fernandes de Araújo (email available below). General contact details of provider: https://edirc.repec.org/data/aberrea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.