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Elsevier Science & Technology
Elsevier Science & Technology - Mathematical Modeling Simulations And Ai For Emergent Pandemic Diseases Lessons Learned From Covid - 19 - Paperback
Elsevier Science & Technology - Mathematical Modeling Simulations And Ai For Emergent Pandemic Diseases Lessons Learned From Covid - 19 - Paperback
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Binding: Paperback
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.
Title: Mathematical Modeling Simulations And Ai For Emergent Pandemic Diseases Lessons Learned From Covid - 19
Brand: Elsevier Science & Technology
Barcode: 9780323950640
Pages: 348 Pages
Publication Date: 3/30/2023
Category: Applied Mathematics
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.
Title: Mathematical Modeling Simulations And Ai For Emergent Pandemic Diseases Lessons Learned From Covid - 19
Brand: Elsevier Science & Technology
Barcode: 9780323950640
Pages: 348 Pages
Publication Date: 3/30/2023
Category: Applied Mathematics
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