This paper focuses on the socio-economic determinants that contribute to COVID-19 cases/deaths among countries. By leveraging Bayesian model averaging techniques and country level data, the authors identify 29 potential determinants grouped into several broad categories: healthcare infrastructure, national health statistics, societal characteristics, economic performance, demographic structure and natural environment. Their results suggest two determinants with a strong correlation to coronavirus cases: population size and government health expenditures. More populated countries show greater resistance to being infected by the virus, whereas countries with larger government health expenditures display greater susceptibility. However, no determinant could predict coronavirus deaths per capita.