IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i3d10.1007_s13132-024-02335-8.html
   My bibliography  Save this article

Socio-Economic Factors and Their Influence on Covid-19 Deaths in Latin America: Role of Knowledge and Its Economic Implications

Author

Listed:
  • Javier Cifuentes-Faura

    (University of Murcia)

Abstract

Latin America has been one of the regions most affected by Covid-19. The aim of this research is to identify the demographic, economic, political, and social factors that significantly impact the number of Covid-19-related deaths in Latin America. Using factor analysis and multiple regression, the study examines the relationship between the number of fatalities and key demographic and socioeconomic variables. The findings highlight that factors such as life expectancy, population density, poverty levels, vulnerable employment, basic sanitation, the Human Development Index, and gross domestic product per capita are significantly linked to Covid-19 mortality rates. These structural variables, deeply embedded in the region’s socioeconomic framework, play a crucial role in determining the impact of the pandemic. Based on the results, policy recommendations are offered. By implementing long-term economic recovery measures and appropriately reallocating resources and expenditures, Latin American society will be better equipped to withstand future outbreaks of disease or emergency situations.

Suggested Citation

  • Javier Cifuentes-Faura, 2025. "Socio-Economic Factors and Their Influence on Covid-19 Deaths in Latin America: Role of Knowledge and Its Economic Implications," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 11583-11598, September.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02335-8
    DOI: 10.1007/s13132-024-02335-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02335-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13132-024-02335-8?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02335-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.