IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/pyjbk_v1.html
   My bibliography  Save this paper

Municipal Brazilian electoral results in 2018-2022 and its association with excess mortality during 2020-2021 COVID-19 pandemic

Author

Listed:
  • Lima, Everton E. C. Dr.

    (Unicamp)

Abstract

Using municipal death registered Ministry of Health data and first-round electoral results of Presidential elections in 2018 and 2022, we evaluate the hypothesis if there is an association between excess mortality and political partisanship in Brazil. Given the political stance adopted by President Bolsonaro, favouring scientific discredit and neglecting the severity of the pandemic, it is expected that there is possibly a relationship between excessive mortality rates during COVID-19 health crisis and the number of municipal votes for Bolsonaro. Our results showed that in both elections the first-round percentage of municipal votes for Bolsonaro was positively associated with the peaks of excess deaths across Brazilian municipalities in 2020 and 2021. Another interesting result, even with the excess of mortality during the pandemic, Bolsonaro's political loyalty did not reduce during the second electoral period of 2022, and the positive association between excess deaths and votes still remained. A possible explanation to this fact is linked to the actual Brazilian political scenario, which is experiencing an environment of tribal politics and affective polarization.

Suggested Citation

  • Lima, Everton E. C. Dr., 2022. "Municipal Brazilian electoral results in 2018-2022 and its association with excess mortality during 2020-2021 COVID-19 pandemic," OSF Preprints pyjbk_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:pyjbk_v1
    DOI: 10.31219/osf.io/pyjbk_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/634c21b50db48e30bee10ddf/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/pyjbk_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:osf:osfxxx:pyjbk_v1. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.