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Statistical model for factors correlating with COVID-19 deaths.

Mikko Nuutinen1, Ira Haavisto2, Antti J Niemi3

  • 1NHG Finland and University of Helsinki, Finland.

International Journal of Disaster Risk Reduction : IJDRR
|October 24, 2022
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Societal masculinity and social distancing interventions significantly impacted COVID-19 death rates. Understanding these factors can improve future pandemic preparedness and response strategies.

Keywords:
COVID-19Containment measuresCountry featuresDeathsLinear mixed effect model

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Area of Science:

  • Epidemiology
  • Sociology
  • Public Health

Background:

  • The COVID-19 pandemic caused global societal disruption.
  • Understanding factors influencing mortality is crucial for future pandemic preparedness.

Purpose of the Study:

  • To identify factors associated with COVID-19's impact on daily mortality change (DMC).
  • To inform better national strategies for pandemic response.

Main Methods:

  • A linear mixed-effects model was used to analyze DMC.
  • Data included country features (demographic, societal, health, healthcare, environmental, cultural) and COVID-19 containment interventions.

Main Results:

  • Geert Hofstede's masculinity dimension positively correlated with higher DMC.
  • Interventions like cancelling public events, controlling travel, and closing workplaces had a stronger effect than country features.
  • Development and population health metrics did not show statistical significance.

Conclusions:

  • Social distancing interventions and societal masculinity significantly impacted COVID-19 mortality.
  • Findings suggest a need to revisit current pandemic preparedness and response models.
  • Further research into socio-cultural and intervention-based factors is warranted.