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Mathematical analysis for transmissi...

Shah, Nita H.

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Mathematical analysis for transmission of COVID-19

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical analysis for transmission of COVID-19/ edited by Nita H. Shah, Mandeep Mittal.
other author:	Shah, Nita H.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	viii, 361 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Optimal Controls to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model -- Chapter 2. A Mathematical Model on COVID-19 Exposed to Quarantine using Z-Control -- Chapter 3. Mathematical Modelling on COVID-19 Transmission due to Religious Activities -- Chapter 4. COVID-19: Modelling and Analysis -- Chapter 5. A Study on impact of BCG-Vaccine on COVID-19 Transmission -- Chapter 6. Modelling and Analysis on COVID-19 Transmission using Machine Learning.
Contained By:	Springer Nature eBook
Subject:	COVID-19 (Disease) - Epidemiology -
Online resource:	https://doi.org/10.1007/978-981-33-6264-2
ISBN:	9789813362642

Mathematical analysis for transmission of COVID-19
Mathematical analysis for transmission of COVID-19[electronic resource] /edited by Nita H. Shah, Mandeep Mittal. - Singapore :Springer Singapore :2021. - viii, 361 p. :ill., digital ;24 cm. - Mathematical engineering,2192-4732. - Mathematical engineering..

Chapter 1. Optimal Controls to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model -- Chapter 2. A Mathematical Model on COVID-19 Exposed to Quarantine using Z-Control -- Chapter 3. Mathematical Modelling on COVID-19 Transmission due to Religious Activities -- Chapter 4. COVID-19: Modelling and Analysis -- Chapter 5. A Study on impact of BCG-Vaccine on COVID-19 Transmission -- Chapter 6. Modelling and Analysis on COVID-19 Transmission using Machine Learning.

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.

ISBN: 9789813362642

Standard No.: 10.1007/978-981-33-6264-2doiSubjects--Topical Terms:

3492877
COVID-19 (Disease)
--Epidemiology

LC Class. No.: RA644.C67 / M384 2021

Dewey Class. No.: 614.592414

Mathematical analysis for transmission of COVID-19
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245 0 0 $a Mathematical analysis for transmission of COVID-19 $h [electronic resource] / $c edited by Nita H. Shah, Mandeep Mittal.
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300 $a viii, 361 p. : $b ill., digital ; $c 24 cm.
490 1 $a Mathematical engineering, $x 2192-4732
505 0 $a Chapter 1. Optimal Controls to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model -- Chapter 2. A Mathematical Model on COVID-19 Exposed to Quarantine using Z-Control -- Chapter 3. Mathematical Modelling on COVID-19 Transmission due to Religious Activities -- Chapter 4. COVID-19: Modelling and Analysis -- Chapter 5. A Study on impact of BCG-Vaccine on COVID-19 Transmission -- Chapter 6. Modelling and Analysis on COVID-19 Transmission using Machine Learning.
520 $a 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.
650 0 $a COVID-19 (Disease) $x Epidemiology $x Mathematical models. $3 3492877
650 1 4 $a Mathematical and Computational Engineering. $3 3226306
650 2 4 $a Applied Statistics. $3 3300946
700 1 $a Shah, Nita H. $3 3470121
700 1 $a Mittal, Mandeep. $3 3492876
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