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Controlling Epidemics With Mathematical and Machine Learning Models (Advances in Computational Intelligence and Robotics) - Hardcover
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Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.
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Abraham Varghese, Higher College of Technology, Oman
Eduardo M. Lacap, Jr., Higher College of Technology, Oman
Ibrahim Sajath, Higher College of Technology, Oman
Kamal Kumar, Higher College of Technology, Oman
Shajidmon Kolamban, Higher College of Technology, Oman
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Controlling Epidemics With Mathematical and Machine Learning Models (Advances in Computational Intelligence and Robotics)
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Controlling Epidemics With Mathematical and Machine Learning Models
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Gebunden. Zustand: New. Presents a mathematical model for epidemic diseases, specifically COVID-19. The model focuses on quarantine, isolation and vaccine effects for the control of the disease. It is a compartmental model, an extension of SIR models which consist of a number of d. Bestandsnummer des Verkäufers 596927625
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians. Bestandsnummer des Verkäufers 9781799883432
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