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Epidemic Analytics for Decision Supports in COVID19 Crisis

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Year: 2022
Publisher: Cham, Springer International Publishing
Media group: Ausleihbestand
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Branch: Hauptstelle Locations: ME-40 33 / Ausstellungsregal Status: available Reservations: 0 Due date: Barcode: 00311510 Floor plans: Floor plan Lending note:

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Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations.
 
Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.

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Year: 2022
Publisher: Cham, Springer International Publishing
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Classification: Search for this systematic ME-40
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ISBN: 978-3-030-95280-8
ISBN (2nd): 978-3-030-95281-5
Description: 1st edition 2022, VI, 158 p. 87 illus., 77 illus. in color
Tags: Analytic Models, COVID-19 (Disease) / Research, Coronavirus, Monte-Carlo Simulation models, compartment simulation models, epidemiologic models, epimiological analytics, outbreak analytics
Participating parties: Search for this character Lobo Marques, Joao Alexandre (editor); Fong, Simon James (editor)
Language: Englisch
Original title: Epidemic Analytics for Decision Supports in COVID19 Crisis
Media group: Ausleihbestand