Multivariate scan statistics for disease surveillance.

Multivariate scan statistics for disease surveillance. Research Abstract Details 

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Multivariate scan statistics for disease surveillance. Abstract Text:

Martin Kulldorff,Farzad Mostashari,Luiz Duczmal,W Katherine Yih,Ken Kleinman,Richard Platt,

In disease surveillance, there are often many different data sets or data groupings for which we wish to do surveillance. If each data set is analysed separately rather than combined, the statistical power to detect an outbreak that is present in all data sets may suffer due to low numbers in each. On the other hand, if the data sets are added by taking the sum of the counts, then a signal that is primarily present in one data set may be hidden due to random noise in the other data sets.In this paper, we present an extension of the spatial and space-time scan statistic that simultaneously incorporates multiple data sets into a single likelihood function, so that a signal is generated whether it occurs in only one or in multiple data sets. This is done by defining the combined log likelihood as the sum of the individual log likelihoods for those data sets for which the observed case count is more than the expected. We also present another extension, where the concept of combining likelihoods from different data sets is used to adjust for covariates.Using data from the National Bioterrorism Syndromic Surveillance Demonstration Project, we illustrate the new method using physician telephone calls, regular physician visits and urgent care visits by Harvard Pilgrim Health Care members cared for by Harvard Vanguard Medical Associates, a large multi-specialty group practice in Massachusetts. For upper and lower gastrointestinal (GI) illness, there were on average 20 telephone calls, nine urgent care visits and 22 regular physician visits per day. The strongest signal was generated by a single data set and due to a familial outbreak of pinworm disease. The second and third strongest signals were generated by the combined strength of two of the three data sets.

Multivariate scan statistics for disease surveillance. Publishing Authors By Initials

M Kulldorff,F Mostashari,L Duczmal,W Katherine Yih,K Kleinman,R Platt,

For similar investigative techniques: epidemiologic methods: data collection: health surveys: population surveillance: sentinel surveillance research abstracts see: investigative techniques: epidemiologic methods: data collection: health surveys: population surveillance: sentinel surveillance research

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Multivariate scan statistics for disease surveillance. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Statistics in medicine

VOLUME: 26

Page Numbers: 1824-33

Journal Abbreviation:

ISSN: 0277-6715

DAY: 15

MONTH: Apr

YEAR: 2007

Multivariate scan statistics for disease surveillance. Information

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LANGUAGE: eng

NlmUniqueID: 8215016

Multivariate scan statistics for disease surveillance. Keywords Mesh Terms:

KEYWORDS: Sentinel Surveillance

MESH TERMS: epidemiology

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Grant and Affiliation Information for Multivariate scan statistics for disease surveillance.

AFFILIATION: Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA. martin_kulldorff@hms.harvard.edu

Country: England

AGENCY: United States PHS

GRANT: CCU115079

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MEDLINETA: Stat Med

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