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.