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Epidemic Analytics for Decision Supports in COVID19 Crisis

Download or Read eBook Epidemic Analytics for Decision Supports in COVID19 Crisis PDF written by Joao Alexandre Lobo Marques and published by Springer Nature. This book was released on 2022-05-20 with total page 161 pages. Available in PDF, EPUB and Kindle.
Epidemic Analytics for Decision Supports in COVID19 Crisis
Author :
Publisher : Springer Nature
Total Pages : 161
Release :
ISBN-10 : 9783030952815
ISBN-13 : 3030952819
Rating : 4/5 (15 Downloads)

Book Synopsis Epidemic Analytics for Decision Supports in COVID19 Crisis by : Joao Alexandre Lobo Marques

Book excerpt: 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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