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Principles & Practice of Public Health Surveillance$
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Lisa M. Lee, Steven M. Teutsch, Stephen B. Thacker, and Michael E. St. Louis

Print publication date: 2010

Print ISBN-13: 9780195372922

Published to Oxford Scholarship Online: September 2010

DOI: 10.1093/acprof:oso/9780195372922.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 15 October 2019

Analyzing and Interpreting Public Health Surveillance Data

Analyzing and Interpreting Public Health Surveillance Data

Chapter:
(p.88) 6 Analyzing and Interpreting Public Health Surveillance Data
Source:
Principles & Practice of Public Health Surveillance
Author(s):

Patrick S. Sullivan

Matthew T. McKenna

Lance A. Waller

G. David Williamson

Lisa M. Lee

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195372922.003.0006

This chapter includes several new sections on inferential analysis of public health surveillance data. It provides a guide using a thoughtful approach to complex statistical analyses for the data rich environment in which surveillance practitioners find themselves. Included in this chapter are sections on trend analyses, survival (or time-to-event) analyses, analyses of associations in cross sectional data, analyses of data from complex survey designs, aberration detection analysis, detection of clustering, and mapping and geo-analyses. New examples from actual public health surveillance systems are used to demonstrate analytic techniques.

Keywords:   analysis, descriptive statistics, inferential statistics, aberration detection, surveillance, statistical analysis

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