Mathematical Analysis for Transmission of COVID-19 (Paperback, 1st ed. 2021)


This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.

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Product Description

This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Mathematical Engineering

Release date

April 2022

Availability

Expected to ship within 10 - 15 working days

First published

2021

Editors

,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

361

Edition

1st ed. 2021

ISBN-13

978-981-3362-66-6

Barcode

9789813362666

Categories

LSN

981-3362-66-9



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