Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance

Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance is a book that explores recent analytic methodologies for disease screening and surveillance. It introduces statistical concepts and methods tailored for sequential decision-making, discusses dynamic screening system (DySS) methods, and showcases two R packages for implementing these techniques. The book provides accessible descriptions of methods, real-data examples, and hands-on exercises to facilitate understanding and practical application.

Format: Hardback
Length: 329 pages
Publication date: 18 June 2024
Publisher: Taylor & Francis Ltd

Disease screening and disease surveillance (DSDS) are two crucial domains in public health that require specialized attention due to their sequential decision-making processes and intricate data structures. Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance offers a comprehensive exploration of innovative analytic methodologies designed to address the challenges posed by DSDS. Authored by a prominent researcher with expertise in sequential decision-making techniques, this book provides a deep dive into fundamental statistical concepts and methods tailored specifically for DSDS.

After providing a foundational overview of the complexities inherent in DSDS, the book delves into the realm of statistical process control (SPC) charts, which are instrumental in analyzing data and making informed decisions in sequential settings. It showcases how SPC charts can be effectively employed to handle the challenges of DSDS, including the analysis of historical data and the accommodation of complex data structures.

The subsequent chapters delve into the latest advancements in dynamic screening system (DySS) methods, meticulously tailored to enhance disease screening efficiency. The author highlights the significance of incorporating real-time data and dynamic modeling techniques to improve the accuracy and timeliness of disease detection. Additionally, the text covers both traditional and contemporary analytic methods for disease surveillance, providing a comprehensive framework for monitoring and analyzing disease trends over space and time.

To further support the practical application of DSDS methodologies, the book introduces two recently developed R packages: DySS and SpTe2M. These packages not only offer comprehensive implementations of DySS methods but also serve as valuable tools for researchers and practitioners interested in exploring spatio-temporal disease surveillance techniques pioneered by the author's research team.

With its extensive coverage of recent analytic methodologies, practical applications, and R packages, Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance serves as a valuable resource for public health professionals, researchers, and students seeking to advance their understanding and expertise in DSDS. By leveraging the power of statistical analysis and innovative technologies, this book empowers individuals to make informed decisions and contribute to the prevention and control of diseases in a rapidly evolving healthcare landscape.

Weight: 662g
Dimension: 241 x 161 x 27 (mm)
ISBN-13: 9780367685805