Controlling Epidemics With Mathematical and Machine Learning Models (Advances in Computational Intelligence and Robotics) - Tapa dura

Varghese, Abraham; Sajath, Ibrahim; Lacap, Jr. Eduardo M.

 
9781799883432: Controlling Epidemics With Mathematical and Machine Learning Models (Advances in Computational Intelligence and Robotics)

Sinopsis

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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Acerca del autor

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9781668478844: Controlling Epidemics With Mathematical and Machine Learning Models

Edición Destacada

ISBN 10:  1668478846 ISBN 13:  9781668478844
Editorial: IGI Global, 2022
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