Main description:

This book introduces the translational informatics applied to most aspects of virus infection, including tracking of virus origin, detection and prevention of infection, drug discovery, and vaccine design as well as smart city-level monitoring and controlling of the virus epidemic by government. It covers the informatics for data mining and modelling at molecular, tissue/organ, individual, and population levels. The informatics for immunological mechanisms and the personalized prediction and treatment of infected patients are also summarized. The perspectives on the application of artificial intelligence to the prevention of virus outbreaks are also given. This book will be helpful to readers who are interested in prevention of virus infection, biomedical informatics, and artificial intelligence in medicine and healthcare.

Contents:

Chapter 1. Databases, Knowledgebases and Software Tools for Virus Informatics.- Chapter 2. Detection and Prevention of Virus Infection.- Chapter 3. Bioinformatics for the Origin and Evolution of Viruses.- Chapter 4. In silico Drug Discovery for Treatment of Virus Diseases.- Chapter 5. Vaccines and Immunoinformatics for Vaccine Design.- Chapter 6. Predicting the Disease Severity of Virus Infection.- Chapter 7. Modeling the Virus Infection at the Population Level.- Chapter 8. Health-Based Geographic Information Systems for Mapping and Risk Modeling of Infectious Diseases and COVID-19 to Support Spatial Decision-Making.- Chapter 9. 5G, Big data and AI for Smart City and Prevention of Virus Infection.-