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＜電子ブック＞
Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation / by Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja
(SpringerBriefs in Computational Intelligence. ISSN:26253712)

版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
本文言語	英語
大きさ	XIII, 53 p. 25 illus., 23 illus. in color : online resource
著者標目	*Saxena, Rahul author Jadeja, Mahipal author Bhateja, Vikrant author SpringerLink (Online service)
件　名	LCSH:Computational intelligence LCSH:Computer simulation LCSH:Medical informatics LCSH:Data mining FREE:Computational Intelligence FREE:Computer Modelling FREE:Health Informatics FREE:Data Mining and Knowledge Discovery
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-981-19-4175-7

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