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
Rok vydání: 2020
Předmět:
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