Coronavirus disease 2019, popularly known as COVID-19 is contagious disease spread worldwide. Within a short span of time, the factors leading to the global rise of COVID-19 instances become a topic of significant interest among practitioners, academicians, and policy makers. In this context, the present study brings together a multitude of variables that include economic indicators, disease indicators, health expenditure and infrastructure variables and jointly investigates their effect on the instances of Covid-19 cases. Ordinary least square method of regression is applied on a cross-sectional data of 139 countries to examine the effects (or its absence) and the magnitudes (if the effect is established) of the relationship. The regression results suggested a significant effect of globalization, GDP, health infrastructure (number of hospital beds) and Tuberculosis instances on the COVID-19 cases. The present study has novel theoretical implications and directions for policy makers.