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

Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation: SpringerBriefs in Applied Sciences and Technology

Autor Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja

en Limba Engleză Paperback – 3 sep 2022

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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Specificații

ISBN-13: 9789811941740
ISBN-10: 9811941742
Pagini: 53
Ilustrații: XIII, 53 p. 25 illus., 23 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.11 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seriile SpringerBriefs in Applied Sciences and Technology, SpringerBriefs in Computational Intelligence

Locul publicării:Singapore, Singapore

Cuprins

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.

Recenzii

“The main idea of the book is to understand how the model corresponds to real world data. The book starts with a general introduction of the disease. … in particular, on the SIR model is provided, including the elementary properties of the simple SIR model. The basic growth and spread pattern is studied, then the authors show how the parameters of the SIR model fit to the growth model and how changes in parameter values may affect the spread.” (Attila Dénes, zbMATH 1530.92002, 2024)

Notă biografică

Mr. Rahul Saxena is currently working as Assistant Professor in the Department of Information technology, Manipal University Jaipur, since 2015, and pursuing Ph.D. from Malaviya National Institute of Technology, Jaipur, since 2019. He completed his Masters from Manipal University Jaipur in the year 2015. He has been awarded with Gold Medal for Excellence in Education in Masters. He completed his B.E. from Birla Institute of Technology, Mesra, in year 2013. His areas of research and interest include social networks analysis, machine learning, graph algorithms, parallel processing, etc. He has several conference, journal articles, and book chapters published in Springer, IEEE, etc. in the related domains of research. Apart from this, he is an active review member in many Scopus indexed journals of Springer, Elsevier, and has served as organizing committee member in various international conferences of IEEE, Springer, in various capacities like Convener, Session chair, TPC, etc.

Dr. Mahipal Jadeja received his Ph.D. degree from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), India, in 2018. He currently works at Malaviya National Institute of Technology (MNIT Jaipur) as an assistant professor. His research interests include theoretical computer science, graph theory, algorithms, social network analysis, and graph neural networks. He has published several journal articles and book chapters in these domains. His research work is presented at reputed international conferences including GSB-SIGIR 2015 (Chile), WAAC 2016 (Japan), and SCAI-ICTIR 2017 (Netherlands). Apart from this, he is an active reviewer for many SCI/Scopus indexed journals. He has served as a TPC member for many conferences including AISE 2020 (Springer international conference).

Dr. Vikrant Bhateja is Associate Professor in the Department of Electronics and Communication Engineering (ECE), Shri Ramswaroop Memorial College of Engineering and Management (SRMCEM), Lucknow (Afﬁliated to AKTU), and also Dean (Academics) in the same college. He is doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 19 years with around 180 publications in reputed international conferences, journals, and online book chapter contributions; out of which 31 papers are published in SCIE indexed high impact factored journals. Among the international conference publications, four papers have received “Best Paper Award.” Among the SCIE publications, one paper published in Review of Scientiﬁc Instruments (RSI) Journal (under American International Publishers) has been selected as “Editor Choice Paper of the Issue” in 2016. He has been instrumental in chairing/co-chairing around 25 international conferences in India and abroad as Publication/TPC chair and edited 45 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 20 keynotes, invited talks in international conferences, ATAL, TEQIP, and other AICTE sponsored FDPs and STTPs. He is Editor-in-Chief of IGI Global International Journal of Natural Computing and Research (IJNCR) an ACM and DBLP indexed journal since 2017. He has guest edited special issues in reputed SCIE indexed journals under Springer-Nature and Elsevier. He is Senior Member of IEEE and Life Member of CSI.

Textul de pe ultima copertă

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.

Caracteristici

Explores SIR epidemic model in detail Discusses the effect of lockdown based on model dynamics Presents experimental results over real time COVID-19 data