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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http://www.sciencedirect.com/science/article/pii/S266644962100013X

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