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Ai Versus Epidemics(1st Edition)

Authors:

James Hughes ,Sheridan Houghten ,Michael Dube ,Daniel Ashlock ,Joseph Alexander Brown ,Wendy Ashlock ,Matthew Stoodley

ai versus epidemics 1st edition james hughes ,sheridan houghten ,michael dube ,daniel ashlock ,joseph

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Book details

ISBN: 3031643720, 978-3031643729

Book publisher: Springer

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Book Summary: This Book Presents Algorithms And Tools That Are Designed To Model And Extract Information From Personal Contact Networks, Which Represent Which Individuals In A Population Are Physically In Contact With One Another. The Authors Developed These Tools Based On Research They Conducted During The COVID-19 Pandemic, With The Goal Of Improving Responses To Epidemics In The Future. The Book Provides Methods For Modelling The Transmission Of Infection Across A Population. The Authors Explain How An Epidemic Model Can Be Used To Strategically Distribute Vaccines And Minimize The Spread Of A Virus. The Book Shows How Evolutionary Computation, Graph Compression, And Network Induction Can Be Utilized To Manage Issues That Arise From An Epidemic.

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