Exploring Susceptible-Infectious-Recovered (SIR) model for COVID-19 investigation / Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja.
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...
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| Main Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2022]
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| Series: | SpringerBriefs in applied sciences and technology. Computational intelligence.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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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| Physical Description: | 1 online resource (xiii, 53 pages) : illustrations (chiefly colour). |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9811941742 9789811941740 9811941750 9789811941757 |