Determinants of mortality rates from COVID-19: a macro level analysis by extended-beta regression model

Objective The specific mortality rate (MR) due to COVID-19 is a useful indicator for monitoring and evaluating the health strategies of systems in pandemic era. main objective this study estimate effects social, health, economic factors on MRs 176 countries. Material Methods Beta regression models were used, estimated as total number deaths divided by confirmed cases (infection fatality rate) until December 2, 2021. Results primary findings revealed heterogeneity rates between regions coefficients showed different patterns association explanatory variables rates. In American region, results strange pattern nearly insignificant effect almost all variables. Asian countries, we found significant GDP per capita share population aged 65 years older rates, whereas African continent, affecting capita, human development index, older. Finally, European did not find clear evidence an Conclusion These show, heterogeneous way among regions, impact aging, level density (especially with forms distancing) increasing risk death from coronavirus. conclusion, has succeeded demonstrating chaotic associations factors.