Jyoti Mishra (editor) - Mathematical Modeling and Soft Computing in Epidemiology

Vijender Kumar Solanki, Sandhya Makkar, and Shivani Agarwal

This new book series will encompass theoretical and applied books, and will be aimed at researchers, doctoral students, and industry practitioners to help in solving real-world problems. This bookseries will help in the various paradigms of management and operations. This bookseries will discuss the concepts and emerging trends on society and businesses. The focus is to collate the recent advances in the field and take the readers on a journey that begins with understanding the buzz words such as employee engagement, employer branding, mathematics, operations, technology and how they can be applied in various aspects. It walks readers through engaging with policy formulation, business management, and sustainable development through technological advances. It will provide a comprehensive discussion on the challenges, limitations, and solutions of everyday problems like how to use operations, management, and technology to understand the value-based education system, health and global warming, and real-time business challenges. This book series will bring together some of the top experts in the field throughout the world who will contribute their knowledge regarding different formulations and models. The aim is to provide the concepts of related technologies and novel findings to an audience that incorporates specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research in technology, operations, and management-related issues.

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Mathematical Modeling and Soft Computing in Epidemiology

Edited by Jyoti Mishra, Ritu Agarwal, Abdon Atangan

For more information about this series, please visit: https://www.crcpress.com/Information-Technology-Management-and-Operations-Research-Practices/book-series/CRCITMORP

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First edition published 2021

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Library of Congress CataloginginPublication Data

Names: Mishra, Jyoti (Professor of Mathematics), editor. |

Agarwal, Ritu (Professor of Mathematics), editor. | Atangana, Abdon, editor.

Title: Mathematical modeling and soft computing in epidemiology / edited by

Jyoti Mishra, Ritu Agarwal and Abdon Atangana.

Description: First edition. | Boca Raton, FL : CRC Press, 2021. |

Series: Information technology, management and operations research practices |

Includes bibliographical references and index.

Identifiers: LCCN 2020026696 (print) | LCCN 2020026697 (ebook) |

ISBN 9780367903053 (hbk) | ISBN 9781003038399 (ebk)

Subjects: LCSH: EpidemiologyMathematical models. | Soft computing. |

AMS: General General and miscellaneous specific topics Theory of

mathematical modeling. | Biology and other natural sciences

Mathematical biology in general. | Mathematics education Mathematical

modeling, applications of mathematics Biology, chemistry, medicine.

Classification: LCC RA652.2.M3 M39 2021 (print) |

LCC RA652.2.M3 (ebook) | DDC 614.401/5118dc23

LC record available at https://lccn.loc.gov/2020026696

LC ebook record available at https://lccn.loc.gov/2020026697

ISBN: 978-0-367-90305-3 (hbk)

ISBN: 978-1-003-03839-9 (ebk)

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by codeMantra

The edited book Mathematical Modelling and Soft Computing in Epidemiology describes different mathematical modeling and soft computing techniques in epidemiology for experiential research in project how infectious diseases progress to show the likely outcome of an epidemic and help inform public health interventions. This book will highlight that the models use some basic assumptions and mathematics to find parameters for various infectious diseases and use those parameters to calculate the effects of different interventions, such as mass vaccination programmers, cancer, and tuberculosis. This book will walk through the emerging trends in modeling of infectious diseases is a tool which has been used to study the mechanisms by which diseases spread, to predict the future course of an outbreak and to evaluate strategies to control an epidemic. It will help the researchers to appreciate the Mathematical Modeling and Soft Computing in Epidemiology. This book will provide a comprehensive discussion of epidemiological modeling that refers to dynamic, deterministic modeling where the population is divided into compartments based on their epidemiological status (e.g., susceptible, infectious, recovered), for which movements between compartments by becoming infected, progressing, recovering, or migrating are specified by differential or difference equations. Overall, this book will develop an understanding of the need of work epidemiologists and public health workers that mathematical modeling can be of use to them.

The objective is to bring the mathematical modeling and soft computing in epidemiology methods in a single volume, which can add to the existing knowledge of undergraduate and postgraduate students, researchers, academicians, and industry people. This book intends to cover the main aspects of mathematical modeling and soft computing in epidemiology, and its goal is to persuade epidemiologists and public health workers that mathematical modeling can be of use to them. The primary users for this book include researchers, academicians, postgraduate students, and specialists. This edited book will have separate chapters to facilitate readers of epidemiology will ensuring its continued popularity in adapting this book.