Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases - Lessons Learned from COVID-19 (Paperback)

Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling in ecology, economics and epidemiology. Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Release date:	March 2023
First published:	2023
Editors:	Esteban A. Hernandez-Vargas • Jorge X. Velasco Hernandez
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	320
ISBN-13:	978-0-323-95064-0
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-323-95064-7
Barcode:	9780323950640

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!