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Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation/ by Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja.
作者:	Saxena, Rahul.
其他作者:	Bhateja, Vikrant.
面頁冊數:	XIII, 53 p. 25 illus., 23 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data Mining and Knowledge Discovery. -
電子資源:	https://doi.org/10.1007/978-981-19-4175-7
ISBN:	9789811941757

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. - 1st ed. 2022. - XIII, 53 p. 25 illus., 23 illus. in color.online resource. - 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

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

677765
Data Mining and Knowledge Discovery.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation
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