Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods

Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods

There is a new public health catastrophe forbidding the world. With the advent and spread of 2019 novel coronavirus (2019-nCoV). Learning from the experiences of various countries and the World Health Organization (WHO) guidelines, social distancing, use of sanitizers, thermal screening, quarantinin...

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Bibliographic Details
Main Authors:	Farhan Mohammad Khan, Akshay Kumar, Harish Puppala, Gaurav Kumar, Rajiv Gupta
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2021-06-01
Series:	Journal of Safety Science and Resilience
Subjects:	COVID-19 Machine learning Transmission Lockdown Gaussian process regression Support vector machine
Online Access:	http://www.sciencedirect.com/science/article/pii/S266644962100013X

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