Epidemic Analytics for Decision Supports in COVID19 Crisis (e-bog) af -
Fong, Simon James (redaktør)

Epidemic Analytics for Decision Supports in COVID19 Crisis e-bog

1240,73 DKK (inkl. moms 1550,91 DKK)
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 us...
E-bog 1240,73 DKK
Forfattere Fong, Simon James (redaktør)
Forlag Springer
Udgivet 20 maj 2022
Genrer Management and management techniques
Sprog English
Format epub
Beskyttelse LCP
ISBN 9783030952815
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.