The political risk factors of COVID-19

This paper analyses a broad range of macro variables to assess the effects they have on number cases and deaths due COVID-19. We consider 23 explanatory health, political, economic factors for 94 countries. Given vast analysed, employs advanced statistical tools analysis. use regularised regression dimension reduction methods increase estimation efficiency. find that alcohol drinking is associated with an in In this regard, our results support World Health Organization’s recommendation reducing during pandemic. Furthermore, show level trust inside society both deaths. A higher medical personnel fewer cases, while government Finally, hospital beds per thousand inhabitants are statistically significant factor Our robust method, interest governments authorities responsible control