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Sinopsis
Advances in Epidemiological Modeling and Control of Viruses covers recent and advanced research works in the field of epidemiological modeling, with special emphasis on new strategies to control the occurrence and reoccurrence of viruses. The models included in this book can be used to study the dynamics of different viruses, searching for control measures, and epidemic models under various effects and environments. This book covers different models and methods of modeling, including data-driven approaches. The authors and editors are experienced researchers, and each chapter has been designed to provide readers with leading-edge information on topics discussed.
- Includes models to describe global and local dynamics of various viruses
- Provides readers with control strategies for occurrence and reoccurrence of viruses
- Includes epidemic models under various effects and environments
- Provides readers with a robust set of mathematical tools and techniques for epidemiological modeling
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Acerca de los autores
Dr. Hemen Dutta PhD is a Professor at Gauhati University, India. He also served three other higher learning academic institutions in different capacities prior to joining the Gauhati University. His current research interests are in the areas of nonlinear analysis and mathematical modeling. He is a regular and guest editor of several international indexed journals. He has published 25 books, including Mathematical Modelling and Analysis of Infectious Diseases, New Trends in Applied Analysis and Computational Mathematics, Current Trends in Mathematical Analysis and Its Interdisciplinary Applications from Springer, Concise Introduction to Basic Real Analysis, Topics in Contemporary Mathematical Analysis and Applications, and Mathematical Methods in Engineering and Applied Sciences from CRC Press, and Fractional Order Analysis: Theory, Methods and Applications from Wiley, among others. Dr. Dutta is also an honorary research affiliate and speaker for several international and national events.
Khalid Hattaf is currently an Associate Professor at Centre Régional des Métiers de l'Education et de la Formation (CRMEF), Casablanca, Morocco. He received his Master in Numerical Analysis, Computers and Signal Processing from Mohammed I University, Oujda, Morocco. He obtained his Ph.D. in Mathematics and Computer Science from Hassan II University of Casablanca, Morocco. His research interests include mathematical modeling in virology, epidemiology, ecology and economics. He is also interested in mathematics education. He ranked among the Top 15 Moroccan researchers in Mathematics for the periods 2009-2013 and 2012-2016. Also, he has published one book, 10 book chapters and more than 100 papers in respected international journals. Recently, he has been featured among the top 2 percent of the world's most cited scientists in various disciplines, according to the American Stanford University ranking.
De la contraportada
Advances in Epidemiological Modeling and Control of Viruses covers recent and advanced research works in the field of epidemiological modeling with special emphasis on new strategies to control the occurrence and reoccurrence of viruses. Applications of mathematics in epidemiological studies have shown remarkable growth in recent years. Mathematical modeling is an interdisciplinary field to study the nature of various systems. The models included in this book can be used to study the dynamics of different viruses, searching for control measures, and epidemic models under various effects and environments. This book covers different models and methods of modeling, including data-driven approaches. The authors and editors are experienced researchers, and each chapter has been designed to provide readers with leading-edge information on topics discussed. The book is a valuable resource for researchers, students, educators, scientists and practitioners associated with diverse aspects of epidemiological modeling. Readers will also find the book interesting in understanding the dynamics of various viruses and control strategies.
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Advances in Epidemiological Modeling and Control of Viruses
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