Chapter

Exploring Temporal and Spatial Patterns in Public Health Surveillance Data

Owen Devine

in Monitoring the Health of Populations

Published in print December 2003 | ISBN: 9780195146493
Published online September 2009 | e-ISBN: 9780199864928 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195146493.003.0003
Exploring Temporal and Spatial Patterns in Public Health Surveillance Data

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This chapter presents a collection of easy-to-use, yet intuitively reasonable approaches for exploratory investigations of public health monitoring data. The focus is primarily on one- and two-dimensional smoothing methods for reducing the random variation expected in observable measures of disease and injury risk. The object of this variance reduction is to increase the signal-to-noise ratio and thus improve the assessment of potential patterns in the underlying risk. The preliminary nature of these types of approaches suggests their intended use as purely hypothesis-generating techniques.

Keywords: public health monitoring data; data analysis; smoothing techniques; injury risk; signal-to-noise ratio

Chapter.  7818 words.  Illustrated.

Subjects: Public Health and Epidemiology

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