Literature DB >> 19131324

Detection of disease outbreaks by the use of oral manifestations.

M H Torres-Urquidy1, G Wallstrom, T K L Schleyer.   

Abstract

Oral manifestations of diseases caused by bioterrorist agents could be a potential data source for biosurveillance. This study had the objectives of determining the oral manifestations of diseases caused by bioterrorist agents, measuring the prevalence of these manifestations in emergency department reports, and constructing and evaluating a detection algorithm based on them. We developed a software application to detect oral manifestations in free text and identified positive reports over three years of data. The normal frequency in reports for oral manifestations related to anthrax (including buccal ulcers-sore throat) was 7.46%. The frequency for tularemia was 6.91%. For botulism and smallpox, the frequencies were 0.55% and 0.23%. We simulated outbreaks for these bioterrorism diseases and evaluated the performance of our system. The detection algorithm performed better for smallpox and botulism than for anthrax and tularemia. We found that oral manifestations can be a valuable tool for biosurveillance.

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Mesh:

Year:  2009        PMID: 19131324      PMCID: PMC3144048          DOI: 10.1177/0022034508327546

Source DB:  PubMed          Journal:  J Dent Res        ISSN: 0022-0345            Impact factor:   6.116


  15 in total

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2.  Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales.

Authors:  Anna Goldenberg; Galit Shmueli; Richard A Caruana; Stephen E Fienberg
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

Review 3.  Dentistry and bioterrorism.

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-06       Impact factor: 11.205

5.  A simple algorithm for identifying negated findings and diseases in discharge summaries.

Authors:  W W Chapman; W Bridewell; P Hanbury; G F Cooper; B G Buchanan
Journal:  J Biomed Inform       Date:  2001-10       Impact factor: 6.317

6.  Representative threats for research in public health surveillance.

Authors:  Michael M Wagner; Virginia Dato; John N Dowling; Michael Allswede
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7.  High-fidelity injection detectability experiments: a tool for evaluating syndromic surveillance systems.

Authors:  Garrick L Wallstrom; M Wagner; W Hogan
Journal:  MMWR Suppl       Date:  2005-08-26

8.  Epidemiological response to syndromic surveillance signals.

Authors:  Jeffrey S Duchin
Journal:  J Urban Health       Date:  2003-06       Impact factor: 3.671

9.  Modeling potential responses to smallpox as a bioterrorist weapon.

Authors:  M I Meltzer; I Damon; J W LeDuc; J D Millar
Journal:  Emerg Infect Dis       Date:  2001 Nov-Dec       Impact factor: 6.883

10.  Evaluation of a deidentification (De-Id) software engine to share pathology reports and clinical documents for research.

Authors:  Dilip Gupta; Melissa Saul; John Gilbertson
Journal:  Am J Clin Pathol       Date:  2004-02       Impact factor: 2.493

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  1 in total

1.  Regional epidemiologic assessment of prevalent periodontitis using an electronic health record system.

Authors:  Amit Acharya; Jeffrey J VanWormer; Stephen C Waring; Aaron W Miller; Jay T Fuehrer; Gregory R Nycz
Journal:  Am J Epidemiol       Date:  2013-03-04       Impact factor: 4.897

  1 in total

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