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Social markers of a pandemic: modeling the association between cultural norms and COVID-19 spread data

Medicine and Health

Social markers of a pandemic: modeling the association between cultural norms and COVID-19 spread data

M. Kapitány-fövény and M. Sulyok

This compelling study by Máté Kapitány-Fövény and Mihály Sulyok explores how social norms influence the spread of COVID-19. By identifying societal groups and examining factors like population density and freedom of assembly, they shed light on the unexpected relationship between climate and infection rates. Discover the surprising dynamics that shape COVID-19 transmission.

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Playback language: English
Abstract
This study investigates the relationship between social norms and the spread of COVID-19. Using global social data and covariates (climate, economic indicators, healthcare access), the researchers applied model-based clustering and random forest regression to identify societal groups and predict COVID-19 doubling time. Four societal groups emerged: reserved, drifting, assertive, and compliant. Compliant societies in dry climates showed the highest doubling times despite higher population densities. Population density, freedom of assembly and association, and agency were key predictors of doubling time, highlighting the importance of social factors in COVID-19 transmission.
Publisher
Humanities & Social Sciences Communications
Published On
Sep 16, 2020
Authors
Máté Kapitány-Fövény, Mihály Sulyok
Tags
social norms
COVID-19
doubling time
societal groups
population density
healthcare access

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