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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
Summary
Societal masculinity and social distancing interventions significantly impacted COVID-19 death rates. Understanding these factors can improve future pandemic preparedness and response strategies.
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.
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