SARS-CoV-2 Virion: A Humane Debacle - An Analytical Approach

The World Health Organization (WHO) has declared COVID-19 a pandemic, as the SARS-CoV-2 virus and its variants have spread worldwide, causing coronavirus diseases (COVID-19). COVID-19 is primarily described as an infectious disease that leads to severe acute respiratory syndrome (SARS), later transforming into the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virion variant. These virion variants have emerged globally with deceptively higher transmissibility and immune evasion capabilities. In this research paper, we propose to compare several ML algorithms to predict COVID-19 mortality using data from various countries and select the best performing algorithm as a predictive tool for decision-making. The study aims to develop a mortality risk prediction for COVID-19 based on ML algorithms that utilize data.