Literature DB >> 9528817

Surveillance data for waterborne illness detection: an assessment following a massive waterborne outbreak of Cryptosporidium infection.

M E Proctor1, K A Blair, J P Davis.   

Abstract

Following the 1993 Milwaukee cryptosporidiosis outbreak, we examined data from eight sources available during the time of the outbreak. Although there was a remarkable temporal correspondence of surveillance peaks, the most timely data involved use of systems in which personnel with existing close ties to public health programmes perceived the importance of providing information despite workload constraints associated with an outbreak. During the investigation, surveillance systems which could be easily linked with laboratory data, were flexible in adding new variables, and which demonstrated low baseline variability were most useful. Geographically fixed nursing home residents served as an ideal population with nonconfounded exposures. Use of surrogate measurements of morbidity can trigger worthwhile public health responses in advance of laboratory-confirmed diagnosis and help reduce total morbidity associated with an outbreak. This report describes the relative strengths and weaknesses of these surveillance methods for community-wide waterborne illness detection and their application in outbreak decision making.

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Year:  1998        PMID: 9528817      PMCID: PMC2809348          DOI: 10.1017/s0950268897008327

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  22 in total

1.  Use of passive surveillance data to study temporal and spatial variation in the incidence of giardiasis and cryptosporidiosis.

Authors:  E N Naumova; J T Chen; J K Griffiths; B T Matyas; S A Estes-Smargiassi; R D Morris
Journal:  Public Health Rep       Date:  2000 Sep-Oct       Impact factor: 2.792

2.  Knowledge-based bioterrorism surveillance.

Authors:  David L Buckeridge; Justin Graham; Martin J O'Connor; Michael K Choy; Samson W Tu; Mark A Musen
Journal:  Proc AMIA Symp       Date:  2002

3.  Contextualizing heterogeneous data for integration and inference.

Authors:  Zachary Pincus; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2003

4.  Syndromic surveillance of gastrointestinal illness using pharmacy over-the-counter sales. A retrospective study of waterborne outbreaks in Saskatchewan and Ontario.

Authors:  Victoria L Edge; Frank Pollari; Gillian Lim; Jeff Aramini; Paul Sockett; S Wayne Martin; Jeff Wilson; Andrea Ellis
Journal:  Can J Public Health       Date:  2004 Nov-Dec

5.  A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets.

Authors:  Ran Li; Garrick L Wallstrom; William R Hogan
Journal:  AMIA Annu Symp Proc       Date:  2005

6.  Combinatorial decomposition of an outbreak signature.

Authors:  Nina H Fefferman; Elena N Naumova
Journal:  Math Biosci       Date:  2006-04-24       Impact factor: 2.144

Review 7.  Review of syndromic surveillance: implications for waterborne disease detection.

Authors:  Magdalena Berger; Rita Shiau; June M Weintraub
Journal:  J Epidemiol Community Health       Date:  2006-06       Impact factor: 3.710

8.  Unsupervised clustering of over-the-counter healthcare products into product categories.

Authors:  Garrick L Wallstrom; William R Hogan
Journal:  J Biomed Inform       Date:  2007-04-03       Impact factor: 6.317

9.  Syndromic Surveillance of Norovirus using Over-the-counter Sales of Medications Related to Gastrointestinal Illness.

Authors:  Victoria L Edge; Frank Pollari; Lai King Ng; Pascal Michel; Scott A McEwen; Jeffrey B Wilson; Michael Jerrett; Paul N Sockett; S Wayne Martin
Journal:  Can J Infect Dis Med Microbiol       Date:  2006-07       Impact factor: 2.471

10.  Prediction of gastrointestinal disease with over-the-counter diarrheal remedy sales records in the San Francisco Bay Area.

Authors:  Michelle L Kirian; June M Weintraub
Journal:  BMC Med Inform Decis Mak       Date:  2010-07-20       Impact factor: 2.796

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