Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts.

Citation data:

BMC medical informatics and decision making, ISSN: 1472-6947, Vol: 9, Issue: 1, Page: 21

Publication Year:
2009
Usage 401
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Repository URL:
https://docs.lib.purdue.edu/ecepubs/68
PMID:
19383138
DOI:
10.1186/1472-6947-9-21
PMCID:
PMC2680402
Author(s):
Hafen, Ryan P; Anderson, David E; Cleveland, William S; Maciejewski, Ross; Ebert, David, , PhD; Abusalah, Ahmad; Yakout, Mohamed; Ouzzani, Mourad; Grannis, Shaun J
Publisher(s):
Springer Nature
Tags:
Medicine
article description
Public health surveillance is the monitoring of data to detect and quantify unusual health events. Monitoring pre-diagnostic data, such as emergency department (ED) patient chief complaints, enables rapid detection of disease outbreaks. There are many sources of variation in such data; statistical methods need to accurately model them as a basis for timely and accurate disease outbreak methods.