Open Access
ARTICLE
Real-Time Analysis of COVID-19 Pandemic on Most Populated Countries Worldwide
Meenu Gupta1, Rachna Jain2, Akash Gupta2,*, Kunal Jain2
1 Department of Computer Science and Engineering, Chandigarh University, Punjab, 140301, India
2 Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, 110063, India
* Corresponding Author: Akash Gupta. Email:
(This article belongs to the Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Computer Modeling in Engineering & Sciences 2020, 125(3), 943-965. https://doi.org/10.32604/cmes.2020.012467
Received 01 July 2020; Accepted 14 September 2020; Issue published 15 December 2020
Abstract
The spread of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has already taken on pandemic extents, inuencing
even more than 200 nations in a couple of months. Although, regulation
measures in China have decreased new cases by over 98%, this decrease is not
the situation everywhere, and most of the countries still have been affected
by it. The objective of this research work is to make a comparative analysis
of the top 5 most populated countries namely United States, India, China,
Pakistan and Indonesia, from 1st January 2020 to 31st July 2020. This research
work also targets to predict an increase in the number of deaths and total
infected cases in these five countries. In our research, the performance of
the proposed framework is determined by using three Machine Learning
(ML) regression algorithms namely Linear Regression (LR), Support Vector
Regression (SVR), and Random Forest (RF) Regression. The proposed model
is also validated upon the infected and death cases of further dates. The performance of these three algorithms is compared using the Root Mean Square
Error (RMSE) metrics. Random Forest algorithm shows best performance as
compared to other proposed algorithms, with the lowest RMSE value in the
prediction of total infected and total deaths cases for all the top five most
populated countries.
Keywords
Cite This Article
APA Style
Gupta, M., Jain, R., Gupta, A., Jain, K. (2020). Real-time analysis of COVID-19 pandemic on most populated countries worldwide. Computer Modeling in Engineering & Sciences, 125(3), 943-965. https://doi.org/10.32604/cmes.2020.012467
Vancouver Style
Gupta M, Jain R, Gupta A, Jain K. Real-time analysis of COVID-19 pandemic on most populated countries worldwide. Comput Model Eng Sci. 2020;125(3):943-965 https://doi.org/10.32604/cmes.2020.012467
IEEE Style
M. Gupta, R. Jain, A. Gupta, and K. Jain "Real-Time Analysis of COVID-19 Pandemic on Most Populated Countries Worldwide," Comput. Model. Eng. Sci., vol. 125, no. 3, pp. 943-965. 2020. https://doi.org/10.32604/cmes.2020.012467