Journal ArticleOpen Access
Data Analytics on the COVID-19 Outbreak in South Asia using Machine Learning Methods
Authors
Author Affiliations
Jatiya Kabi Kazi Nazrul Islam University, University of Dhaka
Published InInternational Journal of Advanced Trends in Computer Science and Engineering
Year2021
Citations1
Abstract
The spread of COVID-19 from the first case reported in China's Wuhan to a worldwide pandemic has been a tremendous topic of study among data analysts and scientists alike. In South Asia, this pandemic has brought about a disaster in the lives and livelihoods of most of its inhabitants. An exploratory analysis of the overall COVID-19 data provided by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) is presented in this paper. The number of confirmed, death, recovered, and active cases as recent as July 18, 2021, have been explored with machine learning data analytics methods to draw crucial conclusions about the pandemic. The analytics and predictive modeling are performed in the context of the cases…
View at Publisher
BORR does not host full-text PDFs. The button above takes you to the original publisher.