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Exploring Susceptible-Infectious-Recovered (SIR) model for COVID-19 investigation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring Susceptible-Infectious-Recovered (SIR) model for COVID-19 investigationby Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja.
Author:	Saxena, Rahul.
other author:	Jadeja, Mahipal.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xiii, 53 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	COVID-19 (Disease)Epidemiology
Online resource:	https://doi.org/10.1007/978-981-19-4175-7
ISBN:	9789811941757$q(electronic bk.)

Exploring Susceptible-Infectious-Recovered (SIR) model for COVID-19 investigation
Saxena, Rahul.

Exploring Susceptible-Infectious-Recovered (SIR) model for COVID-19 investigation[electronic resource] /by Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja. - Singapore :Springer Nature Singapore :2022. - xiii, 53 p. :ill. (chiefly color), digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3712. - SpringerBriefs in computational intelligence..

Chapter 1. Introduction -- Chapter 2. Epidemic studies and mathematical set up of SIR model -- Chapter 3. Understanding and analysing the spread pattern of Covid-19 -- Chapter 4. SIR model based experimental investigations over Covid-19 -- Chapter 5. Result analysis of SIR based Covid-19 Model -- Chapter 6. Exploring Covid-19 second wave dynamics using SIR epidemic model -- Chapter 7. Conclusions and future scope.

The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The predictive modelling of the disease, with the exact facts and figures, provides a ground to reason about growing trends and its future trajectory. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations. Moreover, since COVID-19 spread outburst has been twice, the intensity studies and comparative analysis of the two waves of COVID-19 are another interesting feature of the book content. The book is a knowledge base for various researchers and academicians to dive into the detailing of the COVID spread (mathematical) model and understand how it could be explored to draw outcomes. To represent the factual information and analytical results effectively, graphical and diagrammatic representations have been appended at appropriate places. To keep the explanation simple and yet concrete, mathematical concepts have also been introduced; to carry out analysis to generate results for understanding the viral dynamics.

ISBN: 9789811941757$q(electronic bk.)

Standard No.: 10.1007/978-981-19-4175-7doiSubjects--Topical Terms:

893755
COVID-19 (Disease)
--Epidemiology

LC Class. No.: RA644.C67

Dewey Class. No.: 616.24140015118

Exploring Susceptible-Infectious-Recovered (SIR) model for COVID-19 investigation
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520 $a The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The predictive modelling of the disease, with the exact facts and figures, provides a ground to reason about growing trends and its future trajectory. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations. Moreover, since COVID-19 spread outburst has been twice, the intensity studies and comparative analysis of the two waves of COVID-19 are another interesting feature of the book content. The book is a knowledge base for various researchers and academicians to dive into the detailing of the COVID spread (mathematical) model and understand how it could be explored to draw outcomes. To represent the factual information and analytical results effectively, graphical and diagrammatic representations have been appended at appropriate places. To keep the explanation simple and yet concrete, mathematical concepts have also been introduced; to carry out analysis to generate results for understanding the viral dynamics.
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