In this paper, we carry out an in-depth topological data analysis of COVID-19 pandemic using artificial intelligence and machine learning techniques. We show the distribution patterns of the pandemic all over the world, when it was at its peak, with respect to big datasets in Hausdorff spaces. The results show that the world areas, which experience a lot of cold seasons, were affected most.