IDEAS home Printed from https://ideas.repec.org/p/fgv/epgewp/818.html
   My bibliography  Save this paper

COVID-19: análise com um modelo estatístico para dados em painel

Author

Listed:
  • Campos, Eduardo Lima
  • Cysne, Rubens Penha
  • Madureira, Alexandre L.

Abstract

Esse trabalho tem por objetivo oferecer resultados relativos ao impacto de algumas variáveis mencionadas na literatura, sobre a taxa de variação diária de casos (por milhão de habitantes) registrados da COVID-19. Utilizam-se dados diários para 165 países, entre 22 de janeiro e 30 de abril de 2020 e um modelo estatístico para dados em painel. Fica clara, na análise, a importância do isolamento social no controle da pandemia. Adicionalmente, método adotado e os dados utilizados não permitem excluir a hipótese de que a evolução dos casos da doença possa estar associada a baixas temperaturas e à ausência da cobertura para BCG (Bacilo Calmette-Guérin).

Suggested Citation

  • Campos, Eduardo Lima & Cysne, Rubens Penha & Madureira, Alexandre L., 2020. "COVID-19: análise com um modelo estatístico para dados em painel," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 818, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
  • Handle: RePEc:fgv:epgewp:818
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/7b7dde83-c403-4275-9fce-01b144504da0/download
    Download Restriction: no
    ---><---

    More about this item

    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:fgv:epgewp:818. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/epgvfbr.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.