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Displaying results 1 - 5 of 5
  • Content Type: Abstract

    One of the challenges facing developers and users of automated disease surveillance systems is being able to accurately evaluate the performance of their systems for the wide variety of public health threats that are possible. A… read more
    … cases representing various types of outbreaks on top of that background. With the introduction of the … have been used to evaluate the ability of algorithms to de- tect the elevated levels [2]. Routine unvalidated out- … cases represent- ing various types of outbreaks on top of that back- ground [3],[4]. With the introduction of …
  • Content Type: Abstract

    This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from… read more
    … criteria for alert- ing. Most methods do not apply all four steps explic- itly. Control-chart-based methods … clus- tering of performance results by descriptors was dis- tinct. CONCLUSIONS From these results, simple data … streams.” Mor- bidity Mortality Weekly Report 2005 Aug 26;54 Suppl:55-62. Further Info.: Howard Burkom, …
  • Content Type: Abstract

    Biosurveillance systems typically receive free- text chief complaint and coded diagnosis data, however this data has limited specificity for notifiable disease surveillance. The Biosense System receives chief complaint and/or diagnosis data from… read more
    … 4 views Submitted by elamb on Tue, 03/26/2019 - 16:22 … only, 103 (36%) the GI syndrome and other syndromes (i.e., respiratory 13% and fever 21%), and 9 (3%) syndromes …
  • Content Type: Abstract

    To recognize outbreaks so that early interventions can be applied, BioSense uses a modification of the EARS C2 method, stratifying days used to calculate the expected value by weekend vs weekday, and including a rate-based method… read more
    … syndrome/days with the standard deviation (SD) ≥0.5 by all methods were included. For calculating expected values, … vs rate methods, the latter accounting for total visits (i.e., both visits assigned and not assigned to a syndrome); …
  • Content Type: Abstract

    CDC’s BioSense system provides near-real time situational awareness for public health monitoring through analysis of electronic health data. Determination of anomalous spatial and temporal disease clusters is a crucial part of… read more
    … data, we then applied our program to determine 1-day (i.e., spatial) clusters significant at a p-value threshold …