Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases

With the availability of COVID-19 vaccines, a new set of problems arises concerning viral mutation, interactions with other respiratory infections, and the emergence of new viral diseases from spillovers of zoonosis. Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases includes new research, models and simulations developed with insight gained during the COVID-19 pandemic into how mathematical methods and practice can impact our response to future pandemics. The chapters in this book 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 modelling other emergent pandemic diseases. The reader will benefit from learning how to apply advanced mathematical modelling to a variety of topics of practical interest such as of optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants. A major part of the book is focused on preparing the scientific community for the next pandemic. Particularly important is the application of mathematical modelling to interdisciplinary fields including ecology, economics, and epidemiology, which will be fundamental for forecasting and containing emerging pathogens. Provides a comprehensive overview of the state-of-the-art in mathematical modeling and computational simulations for emerging pandemics Presents modeling techniques that go beyond COVID-19, which can be applied to tailoring interventions to attenuate high death tolls Includes illustrations, tables, and dialog boxes to explain highly specialized concepts and insights with complex algorithms, along with links to programming code