Download the fantastic book titled Controlling Epidemics With Mathematical and Machine Learning Models written by Varghese, Abraham, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Controlling Epidemics With Mathematical and Machine Learning Models", which was released on 21 October 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.
Summary of Controlling Epidemics With Mathematical and Machine Learning Models by Varghese, Abraham PDF
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.
Detail About Controlling Epidemics With Mathematical and Machine Learning Models PDF
- Author : Varghese, Abraham
- Publisher : IGI Global
- Genre : Medical
- Total Pages : 278 pages
- ISBN : 1799883442
- Release Date : 21 October 2022
- PDF File Size : 8,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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