Predicting the time period of extension of lockdown due to increase in rate of COVID-19 cases in India using machine learning

Parth Wadhwa; Aishwarya; Amrendra Tripathi; Prabhishek Singh; Manoj Diwakar; Neeraj Kumar

doi:10.1016/j.matpr.2020.08.509

Predicting the time period of extension of lockdown due to increase in rate of COVID-19 cases in India using machine learning

Mater Today Proc. 2021:37:2617-2622. doi: 10.1016/j.matpr.2020.08.509. Epub 2020 Aug 28.

Authors

Parth Wadhwa¹, Aishwarya¹, Amrendra Tripathi², Prabhishek Singh¹, Manoj Diwakar³, Neeraj Kumar⁴

Affiliations

¹ Department of CSE, Amity School of Engineering and Technology, Amity University Uttar Pradesh Noida, India.
² Department of CSE, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.
³ Department of CSE, Graphic Era (Deemed to be University) Dehradun, Uttarakhand, India.
⁴ Department of IT, Babasaheb Bhimrao Ambedkar University, Central University, Lucknow, India.

Abstract

The research paper proposes a methodology to predict the extension of lockdown in order to eradicate COVID-19 from India. All the concepts related to Coronavirus, its history, prevention and cure is explained in the research paper. Concept used to predict the number of active cases, deaths and recovery is Linear Regression which is an application of machine learning. Extension of lockdown is predicted on the basis of predicted number of active cases, deaths and recovery all over India. To predict the number of active cases, deaths and recovery, date wise analysis of current data was done and necessary parameters like daily recovery, daily deaths, increase rate of covid-19 cases were included. Graphical representation of each analysis and prediction was done in order to make predicted results more understandable. The combined analysis was performed at the end which included the final result of total cases of coronavirus in India. Combined analysis included the no. of cases from start of COVID-19 to the predicted end of cases all over India.

Keywords: COVID-19; COVID-19 pandemic; Coronavirus; Coronavirus India; Coronavirus pandemic; Lockdown prediction.

© 2020 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Newer Trends and Innovation in Mechanical Engineering: Materials Science.