Mathematics of Public Health: Proceedings of the Seminar on the Mathematical Modelling of COVID-19

This book provides an accessible introduction to the mathematics of public health, focusing on the COVID-19 pandemic. It brings together experts from across Canada and the world to present the latest modelling methods and technologies for projecting outbreak trajectories, evaluating public health interventions, and designing vaccine candidates. The content is designed to be accessible to researchers and decision-makers, with a focus on supporting critical decision-making during the crisis.

Format: Hardback
Length: 353 pages
Publication date: 09 February 2022
Publisher: Springer Nature Switzerland AG

Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research. This work brings together experts in mathematical modeling from across Canada and the world, presenting the latest modeling methods as they relate to the COVID-19 pandemic. A primary aim of this book is to make the content accessible so that researchers share the core methods that may be applied elsewhere. The mathematical theories and technologies in this book can be used to support decision makers on critical issues such as projecting outbreak trajectories, evaluating public health interventions for infection prevention and control, developing optimal strategies to return to a new normal, and designing vaccine candidates and informing mass immunization programs. Topical coverage includes: basic susceptible-exposed-infectious-recovered (SEIR) modeling framework modified and applied to COVID-19 disease transmission dynamics; nearcasting and forecasting for needs of critical medical resources including personal protective equipment (PPE); predicting COVID-19 mortality; evaluating effectiveness of convalescent plasma treatment and the logistic implementation challenges; estimating impact of delays in contact tracing; quantifying heterogeneity in contact mixing and its evaluation with social distancing; modeling point of care diagnostics of COVID-19; and understanding non-reporting and underestimation. Further, readers will have the opportunity to learn about current modeling methodologies and technologies for emerging infectious disease outbreak.

Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research. This work brings together experts in mathematical modeling from across Canada and the world, presenting the latest modeling methods as they relate to the COVID-19 pandemic. A primary aim of this book is to make the content accessible so that researchers share the core methods that may be applied elsewhere. The mathematical theories and technologies in this book can be used to support decision makers on critical issues such as projecting outbreak trajectories, evaluating public health interventions for infection prevention and control, developing optimal strategies to return to a new normal, and designing vaccine candidates and informing mass immunization programs. Topical coverage includes: basic susceptible-exposed-infectious-recovered (SEIR) modeling framework modified and applied to COVID-19 disease transmission dynamics; nearcasting and forecasting for needs of critical medical resources including personal protective equipment (PPE); predicting COVID-19 mortality; evaluating effectiveness of convalescent plasma treatment and the logistic implementation challenges; estimating impact of delays in contact tracing; quantifying heterogeneity in contact mixing and its evaluation with social distancing; modeling point of care diagnostics of COVID-19; and understanding non-reporting and underestimation. Further, readers will have the opportunity to learn about current modeling methodologies and technologies for emerging infectious disease outbreak.

Weight: 711g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030850524
Edition number: 1st ed. 2022