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Investigating a Syndromic Surveillance Signal with Complimentary Data Systems
Author(s) -
Hilary Parton,
Robert Mathes,
Jasmine Abdelnabi,
Lisa Alleyne,
Andrea Econome,
Robert Fitzhenry,
Kristen Forney,
Megan Halbrook,
Stephanie Ngai,
Don Weiss
Publication year - 2016
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v8i1.6569
Subject(s) - diarrheal disease , medicine , cluster (spacecraft) , communicable disease , disease surveillance , environmental health , diarrhea , medical emergency , disease , pediatrics , computer science , public health , pathology , programming language
In early June, the New York City syndromic surveillance system detected five signals in sales of over-the-counter antidiarrheal medications. To determine if this increase reflected a concerning cluster of diarrheal illness, we examined multiple communicable disease surveillance data systems. After further investigation of syndromic and other systems, we determined that findings possibly reflected sales promotions but did not suggest increased diarrheal illness in NYC.

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