Abstract
Despite the significant and rising human and economic costs of the novel coronavirus disease (COVID-19), our knowledge on its epidemiology remains limited necessitating expedited research to aid public policy. This study contributes to the knowledge gap by focusing on exploring the effects of potential covariates (economic, institutional, and climatic conditions) on COVID-19 in tropical countries. Using an Ordinary Least Square (OLS) regression, our results showed a non-linear relationship between temperature and infection-to-test ratio. Specifically, temperatures warmer than 18 °C can favor the spread of the disease. In addition, strikingly, countries with better democratic principles registered more positive cases than their counterparts at high levels of corruption.