Controlling Epidemics With Mathematical and Machine Learning Models

Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath , Kamal Kumar

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English

IGI Global
31 October 2022

Epidemiology & medical statistics; Mathematical modelling; Maths for scientists; Computing: general

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.

By: Abraham Varghese, Eduardo M. Lacap, Jr., Ibrahim Sajath, Kamal Kumar, Shajidmon Kolamban
Imprint: IGI Global
Country of Publication: United States
Dimensions: Height: 254mm, Width: 177mm, Spine: 17mm
Weight: 363g
ISBN: 9781799883432
ISBN 10: 1799883434
Pages: 269
Publication Date: 31 October 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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