Predicting Pandemics in a Globally Connected World, Volume 1
Author | : Nicola Bellomo |
Publisher | : Springer Nature |
Total Pages | : 314 |
Release | : 2022-09-22 |
ISBN-10 | : 9783030965624 |
ISBN-13 | : 3030965627 |
Rating | : 4/5 (627 Downloads) |
Download or read book Predicting Pandemics in a Globally Connected World, Volume 1 written by Nicola Bellomo and published by Springer Nature. This book was released on 2022-09-22 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future.