Mathematics of Public Health: Mathematical Modelling from the Next Generation

This volume discusses SDG 3 from a mathematical perspective, showcasing innovative technologies for modeling communicable diseases and disseminating advancements in methodologies and simulation techniques. It covers various modeling approaches, including resource allocation, climate change impact, human behavior, disease spread, outbreak trajectories, public health interventions, and vaccine development. The diseases and public health issues addressed include COVID-19, HIV, influenza, antimicrobial resistance, the opioid epidemic, Lyme Disease, Zika, and malaria. The book is compiled from the Mathematics for Public Health (MfPH) Next Generation Network's weekly seminar series, which brings together modellers to develop mathematical models and tools for global public health concerns.

Format: Hardback
Length: 317 pages
Publication date: 31 December 2023
Publisher: Springer International Publishing AG

This comprehensive volume delves into Sustainable Development Goal (SDG) 3, focusing on mathematical approaches to modeling and simulating communicable diseases. It presents novel perspectives on existing technologies for disease modeling and disseminates cutting-edge developments in methodologies and simulation techniques. These methodologies hold significant value in training and research related to communicable diseases, as well as in addressing other threats to human health.

The contributions featured in this collection/book encompass a diverse range of modeling techniques that have been and may be employed to inform decision-making on critical health-related issues. These include resource allocation, the impact of climate change on communicable diseases, the interplay between human behavior change, disease spread, disease outbreak trajectories projection, evaluation of public health interventions, preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks, and the development of vaccines and considerations surrounding vaccine allocation and optimization.

The diseases and public health challenges addressed in this volume encompass a wide range, including COVID-19, HIV, influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and malaria. Furthermore, this volume compares different modeling approaches, such as compartmental models, agent-based models, machine learning, and network analysis. By providing readers with insights from the perspective of the next generation, this volume aims to enhance their understanding of evolving methodologies and algorithms in modeling infectious diseases, the mathematical foundations behind them, the motivations driving their development, and their applications in supporting critical decisions related to prevention and control of communicable diseases.

This volume was compiled from the weekly seminar series organized by the Mathematics for Public Health (MfPH) Next Generation Network. This network serves as a platform for bringing together the next generation of researchers and practitioners in the field of mathematics for public health. By fostering collaboration and knowledge exchange, the network aims to contribute to the advancement of mathematical modeling and its application in addressing global health challenges.

Weight: 637g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031408045
Edition number: 1st ed. 2023