A machine learning analysis of the relationship of demographics and social gathering attendance from 41 countries during pandemic.

ABSTRACT: Knowing who to target with certain messages is the prerequisite of efficient public health campaigns during pandemics. Using the COVID-19 pandemic situation, we explored which facets of the society-defined by age, gender, income, and education levels-are the most likely to visit social gatherings and aggravate the spread of a disease. Analyzing the reported behavior of 87,169 individuals from 41 countries, we found that in the majority of the countries, the proportion of social gathering-goers was higher in male than female, younger than older, lower-educated than higher educated, and low-income than high-income subgroups of the populations. However, the data showed noteworthy heterogeneity between the countries warranting against generalizing from one country to another. The analysis also

SUBMITTER: Szaszi B 

PROVIDER: S-EPMC8760248 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature