Skip to main content

Displaying results 25 - 32 of 41
  • Analytic Methodologies for Disease Surveillance Using Multiple Sources of Evidence

    Content Type: Webinar

    This presentation is for public health practitioners and methodology developers interested in using statistical methods to combine evidence from multiple data sources for increased sensitivity to disease outbreaks. Methods described will account for… read more
    …  via  E-­‐mail   2209   Opened  Announcement   547  (26.5%)   Clicked  on  Announcement  Email   (percentage …  Data   Metropolitan Locality 0 10 20 30 40 50 60 70 80 40 44 48 52 4 8 12 16 00_01 0 20 40 60 80 100 120 140 …   Mul4variate  Time  Series  Models   •  Lau  E.H.Y,  Cowling  B.J.,  Ho  L-­‐M,  Leung  G.M.,  Op4mizing  Use …
  • Adopting a common influenza-like illness syndrome across multiple health jurisdictions

    Content Type: Abstract

    Syndromic surveillance systems were designed for early outbreak and bioterrorism event detection. As practical experience shaped development and implementation, these systems became more broadly used for general surveillance and situational… read more
    … time-series, subsyndrome and age-specific distribution of visits and signal-to-noise measures. Results We found less … pubmed/21894257. *Don Olson E-mail: drolson@gmail.com (page number not for citation purpose) Fig. 1. … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …
  • Modifications to Spatial Scan Statistics for Estimated Probabilities at Fine-Resolution in Highly Skewed Spatial Distributions

    Content Type: Abstract

    Estimation of representative spatial probabilities and expected counts from baseline data can cause problems in applying spatial scan statistics when observed events are sparse in a large percentage of the spatial zones (e.g.,… read more
    … this inves- tigation of alternatives. METHODS Counts of visits to Texas Department of Defense (DoD) clinics, grouped … the cho- sen syndrome groups from the Texas DoD clinic visit counts at the residence-zip code and home-zip code …
  • Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance

    Content Type: Abstract

    We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.
    … for classification of syndromic data for tracking ILI may differ regionally, so previously pub- lished study … and excluded one hospital that did not provide ED chief com- plaints. The weekly number of positive viral cultures … with ED data. We used 6 classifications of ILI ED visit data for this analysis: (1) A chief complaint with …
  • Evaluating Pandemic Influenza Surveillance and Response Systems in Developing Countries: Framework and Pilot Application

    Content Type: Abstract

    A pandemic caused by influenza A/H5N1 or another novel strain could kill millions of people and devastate economies worldwide. Recent computer simulations suggest that an emerging influenza pandemic might be contained in Southeast Asia through rapid… read more
    … delays in pandemic recognition. Wealthy countries have com- mitted substantial funds to improve pandemic detec- … questionnaires provided to system operators and site visits. We will develop recommen- dations for system … proto- col for rapid response and containment. Draft 30, May 2006. [3] Buehler JW, et al.. Framework for Evaluating …
  • Evaluation of Alerting Sparse-Data Streams of Population Healthcare-Seeking Data

    Content Type: Abstract

    Objective This presentation discusses the problem of detecting small-scale events in biosurveillance data that are relatively sparse in the sense that the median count of monitored time series values is zero. Research goals are to understand… read more
    … but little on the monitoring of sparse series. Literature may be found in statistical process control applied to … streams were small-scale series of 1400 days of daily visit counts in 20 syndromic categories. The simulated data …
  • Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Data

    Content Type: Abstract

    Numerous recent papers have evaluated algorithms for biosurveillance anomaly detection. Common essential problems in the disparate, evolving data environment include trends, day-of-week effects, and other systematic behavior.… read more
    … of authentic outpatient data covering 1402 days of clinic visit counts. Receiver operating characteristic curves were … in Medicine, available at http://www3.interscience.wiley.com/cgi- bin/fulltext/114131913/PDFSTART. 2. Brillman JC, et.al. Modeling emergency department visit patterns for infectious disease complaints: results …
  • Modeling Disease Surveillance and Assessing its Effectiveness for Detection of Acute Respiratory Outbreaks in Resource-Limited Settings

    Content Type: Abstract

    A U.S. Department of Defense program is underway to assess health surveillance in resource-poor settings and to evaluate the Early Warning Outbreak Reporting System. This program has included several information-gathering trips,… read more
    … uses health and census data collected during the 2006 Lao visit and incorporates features of recently published agent- … Scenarios investigated were derived from the Lao site visit--the gain from adding EWORS capability in strategic …