Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India

被引：60

作者：

Kumari, Rajani ^{[1
]}

Kumar, Sandeep ^{[2
]}

Paonia, Ramesh Chandra ^{[3
]}

Singh, Vijander ^{[4
]}

Raja, Linesh ^{[4
]}

Bhatnagar, Vaibhav ^{[4
]}

Agarwal, Pankaj ^{[3
]}

机构：

[1] JECRC Univ, Dept Informat Technol & Comp Applicat, Jaipur 303905, Rajasthan, India

[2] CHRIST Deemed Univ, Bangalore 560029, Karnataka, India

[3] Amity Univ Rajasthan, Jaipur 303002, Rajasthan, India

[4] Manipal Univ Jaipur, Jaipur 303007, Rajasthan, India

来源：

BIG DATA MINING AND ANALYTICS | 2021年 / 4卷 / 02期

关键词：

COVID-19; regression; correlation; machine learning; prediction; CORONAVIRUS; CHINA;

D O I：

10.26599/BDMA.2020.9020013

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on 30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients and multiple linear regression applied for prediction and autocorrelation and autoregression have been used to improve the accuracy. The predicted number of cases shows a good agreement with 0.9992 R-squared score to the actual values. The finding suggests that lockdown and social distancing are two important factors that can help to suppress the increasing spread rate of COVID-19.

引用

页码：65 / 75

页数：11

共 54 条

[1]

Abdullah A. B., B WORLD HEALTH ORGAN, DOI 10.2471IBLT.20.255695

[2]

Ai AI, 2020, COVID 19 OPEN RES DA

[3] Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India [J].