Relational mobility predicts faster spread of COVID-19: a 39-country study
Autor: | Cristina E. Salvador, Qinggang Yu, Alvaro San Martin, Martha K. Berg, Shinobu Kitayama |
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Rok vydání: | 2020 |
Předmět: |
Cross-Cultural Comparison
Internationality Pneumonia Viral Control variable Open materials Models Biological Factores socioculturales Betacoronavirus Humans Hofstede's cultural dimensions theory Social Behavior Sociocultural evolution Set (psychology) Pandemics General Psychology Materiales abiertos Government SARS-CoV-2 Vaccination Open data COVID-19 Relational mobility Datos abiertos Variable (computer science) Reporting bias Movilidad relacional BCG Vaccine Demographic economics Public Health Coronavirus Infections Psychology Sociocultural factors |
Zdroj: | Dadun. Depósito Académico Digital de la Universidad de Navarra instname Dadun: Depósito Académico Digital de la Universidad de Navarra Universidad de Navarra |
Popis: | It has become increasingly clear that COVID-19 is transmitted between individuals. It stands to reason that the spread of the virus depends on sociocultural ecologies that facilitate or inhibit social contact. In particular, the community-level tendency to engage with strangers and freely choose friends, called relational mobility, creates increased opportunities to interact with a larger and more variable range of other people. It may therefore be associated with a faster spread of infectious diseases, including COVID-19. Here, we tested this possibility by analyzing growth curves of confirmed cases of and deaths due to COVID-19 in the first 30 days of the outbreaks in 39 countries. We found that growth was significantly accelerated as a function of a country-wise measure of relational mobility. This relationship was robust either with or without a set of control variables, including demographic variables, reporting bias, testing availability, and cultural dimensions of individualism, tightness, and government efficiency. Policy implications are also discussed. |
Databáze: | OpenAIRE |
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