Research Issues and Ideas on Health-Related Surveillance

William H. Woodall (), Olivia A. Grigg () and Howard S. Burkom ()
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William H. Woodall: Virginia Tech, Department of Statistics
Olivia A. Grigg: Institute of Public Health, MRC Biostatistics Unit
Howard S. Burkom: The Johns Hopkins University, Applied Physics Laboratory, National Security Technology Department

A chapter in Frontiers in Statistical Quality Control 9, 2010, pp 145-155 from Springer

Abstract: Summary In this overview paper, some of the surveillance methods and metrics used in health-related applications are described and contrasted with those used in industrial practice. Many of the aforesaid methods are based on the concepts and methods of statistical process control. Public health data often include spatial information as well as temporal information, and in this and other regards, public health applications could be considered more challenging than industrial applications. Avenues of research into various topics in health-related monitoring are suggested.

Keywords: Control Chart; Royal Statistical Society; Statistical Process Control; Quality Technology; Syndromic Surveillance (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2380-6_10

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DOI: 10.1007/978-3-7908-2380-6_10

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