Controlling Epidemics With Mathematical and Machine Learning Models is popular PDF and ePub book, written by Varghese, Abraham in 2022-10-21, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Controlling Epidemics With Mathematical and Machine Learning Models can be Read Online from any device for your convenience.
Controlling Epidemics With Mathematical and Machine Learning Models Book PDF Summary
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 Book of Controlling Epidemics With Mathematical and Machine Learning Models PDF
- Author : Varghese, Abraham
- Release : 21 October 2022
- Publisher : IGI Global
- ISBN : 9781799883449
- Genre : Medical
- Total Page : 278 pages
- Language : English
- PDF File Size : 11,6 Mb
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