文章基本信息

标题：Correlation Between Influenza-Like Illness Reported by ILINet and NSSP, Kansas, 2014-2015
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作者：Daniel J. Neises ; Farah Naz
期刊名称：Online Journal of Public Health Informatics
电子版ISSN：1947-2579
出版年度：2016
卷号：8
期号：1
语种：English
出版社：University of Illinois at Chicago
摘要：Kansas' primary method of Influenza-like Illness (ILI) surveillance is the U.S. Outpatient ILI Surveillance Network (ILINet), which experiences data submission delays. Kansas' method of syndromic surveillance is the National Syndromic Surveillance Program (NSSP), which provides real-time data. Data from the 2014-2015 influenza season were compared. The weekly proportions of ILI patients reported to ILINet and NSSP were highly correlated, both when comparing all data at the season's end and when comparing only data submitted before the weekly ILINet deadline. NSSP data may provide situational awareness for states whose ILINet providers do not meet the weekly submission deadline.