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Introduction to Statistical Methods for Biosurveillance, by Ronald D. Fricker
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Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization, and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.
- Sales Rank: #3299216 in eBooks
- Published on: 2013-02-28
- Released on: 2013-06-25
- Format: Kindle eBook
Review
"The book is well written and easy to read, with a useful organization. Each chapter opens with an overview and a clear definition of its objectives, and ends with a discussion that summarizes the chapter and leads to the next one. ...I find this book suitable as a textbook for both masters- and doctoral-level students in business and applied statistics. I would also recommend this book as a useful reference for researchers with an interest in disease surveillance."
I. Yahav, The Bar Ilan Graduate School of Business Administration (from The American Statistician, 2014)
From the Author
This book is about basic statistical methods useful for biosurveillance. The focus on basic methods has a two-fold motivation. First, there is a need for a text that starts from the fundamentals, both of public health surveillance and statistics, and weaves them together into a foundation for biosurveillance.
Second, while there is a large and growing literature about biosurveillance that includes the application of some very complicated and sophisticated statistical methods, it has been my experience that more complicated methods and models do not always result in better performance. And, even when they do, there is often an inherent trade-off made in terms of transparency and interpretability.
I hope this book contributes to the effective design and implementation of biosurveillance systems. Given the increasingly dangerous
threats that face mankind, some of natural origin and some not, and all magnified by our increasingly interconnected world, biosurveillance systems are truly a first line of defense.
From the Back Cover
"This book takes an important step forward for biosurveillance by consolidating and applying relevant knowledge from statistical process control and other fields to surveillance analysis in an accessible manner. The author demonstrates a profound understanding of biosurveillance through his thoughtful consideration of the unique aspects of biosurveillance that must be considered when analyzing data for early event detection and situation awareness. Grounded in the realit of biosurveillance and organized along lines that will make sense to practitioners, this book is written with the rigor and statistical clarity that should also resonate with researchers."
David L. Buckeridge, McGill University
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