Data Science for COVID-19

Volume 1: Computational Perspectives

Utku Kose, Deepak Gupta, Victor de Albuquerque, Ashish Khanna
Elsevier S&T
752 pages
ISBN: ‎978-0128245361
June 2021

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety.