TY  - GEN
N2  - COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
DO  - 10.1007/978-3-030-61913-8
DO  - doi
AB  - COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
T1  - Predictive models for decision support in the COVID-19 crisis /
AU  - Marques, Joao Alexandre Lobo,
AU  - Gois, Francisco Nauber Bernardo,
AU  - Xavier-Neto, José,
AU  - Fong, Simon,
CN  - RA644.C67
ID  - 1432758
KW  - COVID-19 (Disease)
KW  - Epidemiology
KW  - Predictive analytics.
KW  - Medical policy
KW  - Economic policy
KW  - COVID-19
KW  - Épidémiologie
KW  - Politique sanitaire
KW  - Politique économique
SN  - 9783030619138
SN  - 3030619133
TI  - Predictive models for decision support in the COVID-19 crisis /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-61913-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-61913-8
ER  -