Literature DB >> 7693157

Computer-aided detection of temporal clusters of organisms reported to the Communicable Disease Surveillance Centre.

C P Farrington, A D Beale.   

Abstract

This article describes a computer system developed to assist in the identification of temporal clusters among the several hundred different organisms reported each week to the PHLS Communicable Disease Surveillance Centre. A threshold value is calculated for each organism on the basis of past reports. Organisms in excess of their threshold are identified for further investigation. The calculation of the thresholds allows for past outbreaks, long-term trends, and scatter in the data.

Mesh:

Year:  1993        PMID: 7693157

Source DB:  PubMed          Journal:  Commun Dis Rep CDR Rev        ISSN: 1350-9349


  6 in total

1.  An evaluation and comparison of three commonly used statistical models for automatic detection of outbreaks in epidemiological data of communicable diseases.

Authors:  P Rolfhamre; K Ekdahl
Journal:  Epidemiol Infect       Date:  2005-12-22       Impact factor: 2.451

2.  A stastistical system for detecting Salmonella outbreaks in British livestock.

Authors:  R Kosmider; L Kelly; S Evans; G Gettinby
Journal:  Epidemiol Infect       Date:  2006-01-26       Impact factor: 2.451

3.  Description of a new all cause mortality surveillance system in Sweden as a warning system using threshold detection algorithms.

Authors:  B Sartorius; H Jacobsen; A Törner; J Giesecke
Journal:  Eur J Epidemiol       Date:  2006       Impact factor: 8.082

4.  [Food borne infections: study of outbreaks--the key to the source].

Authors:  Andrea Ammon
Journal:  Wien Klin Wochenschr       Date:  2007       Impact factor: 1.704

5.  Statistical detection of geographic clusters of resistant Escherichia coli in a regional network with WHONET and SaTScan.

Authors:  Rachel Park; Thomas F O'Brien; Susan S Huang; Meghan A Baker; Deborah S Yokoe; Martin Kulldorff; Craig Barrett; Jamie Swift; John Stelling
Journal:  Expert Rev Anti Infect Ther       Date:  2016-09-06       Impact factor: 5.091

6.  Automated use of WHONET and SaTScan to detect outbreaks of Shigella spp. using antimicrobial resistance phenotypes.

Authors:  J Stelling; W K Yih; M Galas; M Kulldorff; M Pichel; R Terragno; E Tuduri; S Espetxe; N Binsztein; T F O'Brien; R Platt
Journal:  Epidemiol Infect       Date:  2009-10-02       Impact factor: 2.451

  6 in total

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