Journal Press India^®

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COVID-19, a SARS-CoV-2 illness, was confirmed a pandemic in March 2020. By August, 21 million will be positive globally. As illnesses spread quickly, people work to stop them. I organise COVID-19 research using data science, which includes AI, ML, statistics, modelling, simulation, and data visualisation. I analyse COVID-19 databases and repositories and offer mitigation methods. I also evaluate these articles bibliometrically. Finally, I discuss common concerns in the surveyed works. This publication supports data science and AI activities. This study covers data science methodologies for COVID-19, including epidemiological parameter estimation, diagnostics, policymaking, mental wellbeing, case management, social media analytics, and vaccination design and dissemination. I emphasise difficulties, research fields, and local resources. It helps strategists and policymakers understand the challenges, prospects, and risks of leveraging this new diverese field to fight COVID-19.

Keywords

Covid-19; Data Science; Epidemiological Parameter; Diagnostics; Mental Wellbeing

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