Rahul Saxena,Mahipal Jadeja,Vikrant Bhateja
Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation
Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation
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- More about Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation
The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious,and Recovered (SIR) model. It emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations. Additionally, it includes intensity studies and comparative analysis of the two waves of COVID-19. The book is a knowledge base for researchers and academicians to dive into the detailing of the COVID spread (mathematical) model and understand how it could be explored to draw outcomes.
Format: Paperback / softback
Length: 53 pages
Publication date: 03 September 2022
Publisher: Springer Verlag, Singapore
The book delves into the intricate mathematical modelling of the COVID-19 pandemic, employing the Susceptible, Infectious, and Recovered (SIR) model. Through precise predictive modelling, it offers a solid foundation for understanding emerging trends and forecasting the disease's future trajectory. The book underscores the intricate mechanisms of pandemic spread, analyses the impact of lockdown measures, and proposes future actions based on rigorous mathematical calculations. Given the dual outbreaks of COVID-19, the book also includes in-depth studies and comparative analyses of the two waves, shedding light on their distinct characteristics and implications. Serving as a comprehensive resource, the book caters to researchers and academicians seeking to delve into the intricacies of the COVID spread (mathematical) model and explore its potential for generating valuable insights. To effectively convey the factual information and analytical findings, graphical and diagrammatic representations have been strategically placed throughout the text. Additionally, mathematical concepts have been introduced to facilitate the analysis and interpretation of data, ultimately aiding in understanding the complex dynamics of the viral outbreak.
Weight: 125g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811941740
Edition number: 1st ed. 2022
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