Description
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.
Author: Esteban A. Hernandez-Vargas
Publisher: Academic Press
Published: 03/30/2023
Pages: 348
Binding Type: Paperback
Weight: 1.33lbs
Size: 9.25h x 7.50w x 0.73d
ISBN13: 9780323950640
ISBN10: 0323950647
BISAC Categories:
- Mathematics | Applied
- Science | Life Sciences | Molecular Biology
- Science | Bioinformatics
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