Publication

Abstract : Accurate identification and prediction of underlying factors of pandemics (like COVID-19) are research priorities, but require elaborate data analysis on a global scale. Due to the large number of mutations of coronavirus that have already ensued during a short span of 2+ years, it is absurd to assume that further mutations will cease to exist. The place and time of future mutations are unpredictable. However, simple visualization techniques can sometimes reveal data peculiarities and provide quick answers to the onset of new mutations, thereby avoiding an expensive analytics run. This paper is aimed at exploring how visualization plots play an essential role to expose hidden relationships among a multitude of variables involved, and how it can be effectively utilized to predict new waves in selected geographic regions.