This paper examines the nexus between the Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant among the world's top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques to address heterogeneity across the nations . The findings of the study suggest that there exists a strong cross-sectional dependence between Covid-19 cases, deaths, and all the meteorological factors for the countries under study . The findings also reveal that a long-term relationship exists between all the meteorological factors . There exists a bi-directional causality running between the Covid-19 cases and all the meteorological factors . With Covid-19 death cases as the dependent variable, there exists bi-directional causality running between the Covid-19 death cases and Covid-19 confirmed cases, air pressure, humidity, and temperature . Temperature and air pressure exhibit a statistically significant and negative impact on the Covid-19 confirmed cases . Air pollutant PM2.5 also exhibits a significant but positive impact on the Covid-19 confirmed cases . Temperature indicates a statistically significant and negative impact on the Covid-19 death cases . At the same time, Covid-19 confirmed cases and air pollutant PM2.5 exhibit a statistically significant and positive impact on the Covid-19 death cases across the ten countries under study . Hence, it is possible to postulate that cool and dry weather conditions with lower temperatures may promote indoor activities and human gatherings (assembling), leading to virus transmission . This study contributes both practically and theoretically to the concerned field of pandemic management . Our results assist in taking appropriate measures in implementing intersectoral policies and actions as necessary in a timely and efficient manner . Causal relations of Meteorological factors and Covid-19 (2 models used in the study).