The Application of a Novel Statistical Method for Syndromic Surveillance in England
نویسندگان
چکیده
Introduction Syndromic surveillance is the real-time collection and interpretation of data to allow the early identification of public health threats and their impact, enabling public health action.1 Statistical methods are used in syndromic surveillance to identify when the activity of indicator ‘signals’ have significantly increased. A wide range of techniques have been applied to syndromic data internationally. As part of the preparation for the 2012 Olympics Public Health England expanded its syndromic surveillance service.2 As new syndromic systems were introduced, statistical methods were developed and applied for each system, tailored to the particular system challenges at the time, e.g. a lack of historical data, and regular changes to geographical coverage.3
منابع مشابه
THE PRACTICAL APPLICATION OF STATISTICAL METHODS TO IMPROVE THE UTILITY OF SYNDROMIC SURVEILLANCE IN ENGLAND. The practical application of statistical methods to improve the utility of syndromic surveillance in England
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عنوان ژورنال:
دوره 7 شماره
صفحات -
تاریخ انتشار 2015