Introduction to Statistical Methods for Biosurveillance

JNC Academic Books Verified independent store

→

Ronald D. FrickerCambridge University Press, 3/31/2013EAN 9780521191340, ISBN10: 0521191343Hardcover, 424 pages, 24.2 x 16.2 x 2.6 cmLanguage: EnglishBioterrorism is not a new thre at, 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.Part I. Introduction to Biosurveillance1. Overview2. Biosurveillance dataPart II. Situational Awareness3. Situational awareness for biosurveillance4. Descriptive statistics for displaying the situation5. Statistical models for evaluating the situationPart III. Early Event Detection6. Design and performance evaluation7. Univariate temporal methods8. Multivariate temporal methods9. Spatio-temporal methodsPart IV. Putting It All Together10. Simulating biosurveillance data11. Applying the temporal methods to real data12. Comparing methods to better understand and improve13. Frontiers, open questions, and future research. Show more