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    Social values are significant factors in control of COVID-19 the first phase pandemic (2023)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Wójta-Kempa, Monika
    Skawina, Anna
    Płatek, Daniel
    Jarynowski, Andrzej (WE 16)
    Skawina, Ireneusz
    Belik, Vitaly (WE 16)
    Quelle
    E-methodology
    Bandzählung: 9
    Heftzählung: 9
    Seiten: 33 – 39
    ISSN: 2392-0688
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://e-methodology.eu/index.php/e-methodology/article/view/1486
    DOI: 10.15503/emet.2022.33.39
    Kontakt
    Institut für Veterinär-Epidemiologie und Biometrie

    Königsweg 67
    14163 Berlin
    +49 30 838 56034
    epi@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Introduction:
    This study examines the relationship between social values and the control of the COVID-19 pandemic in selected European countries during the early months of 2020.

    Methods:
    Utilizing epidemiological data, including starting and controlled reproduction rates (R(t)), and social values' dimensions based on Schwartz's framework, we uncover significant associations by linear regressions.

    Results:
    Our findings reveal that highly hierarchical societies with a strong focus on maximising individual utility (affective autonomy) are less successful in controlling the spread of the virus. Conversely, societies with interconnected (embedded) structures appear to be more effective in disease control. Our discussion acknowledges the complexity of distinguishing between natural disease patterns and control efforts. Interactive dashboard is available: https://infodemia-koronawirusa.shinyapps.io/culture/

    Conclusions:
    This study underscores the substantial influence of social values on disease control in Europe. It emphasises the need to consider social contexts when evaluating the effectiveness of mitigation strategies on an international scale. While recognising the potential role of confounding variables such as healthcare capacity, our research suggests that analysing outbreak dynamics across countries can provide insights into not only why some nations fare better but also how to combat future disease spread effectively.