Epidemic Analytics for Decision Supports in COVID19 Crisis is popular PDF and ePub book, written by Joao Alexandre Lobo Marques in 2022-05-20, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Epidemic Analytics for Decision Supports in COVID19 Crisis can be Read Online from any device for your convenience.
Epidemic Analytics for Decision Supports in COVID19 Crisis Book PDF Summary
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.
Detail Book of Epidemic Analytics for Decision Supports in COVID19 Crisis PDF
- Author : Joao Alexandre Lobo Marques
- Release : 20 May 2022
- Publisher : Springer Nature
- ISBN : 9783030952815
- Genre : Technology & Engineering
- Total Page : 161 pages
- Language : English
- PDF File Size : 21,9 Mb
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