Investigating a Syndromic Surveillance Signal with Complimentary Data Systems

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 f...

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Published inOnline journal of public health informatics Vol. 8; no. 1
Main Authors Parton, Hilary B., Mathes, Robert, Abdelnabi, Jasmine, Alleyne, Lisa, Econome, Andrea, Fitzhenry, Robert, Forney, Kristen, Halbrook, Megan, Ngai, Stephanie, Weiss, Don
Format Journal Article
LanguageEnglish
Published 24.03.2016
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Abstract 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.
AbstractList 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.
Author Mathes, Robert
Weiss, Don
Forney, Kristen
Parton, Hilary B.
Ngai, Stephanie
Econome, Andrea
Halbrook, Megan
Alleyne, Lisa
Abdelnabi, Jasmine
Fitzhenry, Robert
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