Skip to main content

Displaying results 1 - 8 of 8
  • Time of Arrival Analysis in NC DETECT to Find Clusters of Interest from Unclassified Patient Visit Records

    Content Type: Abstract

    TOA identifies clusters of patients arriving to a hospital ED within a short temporal interval. Past implementations have been restricted to records of patients with a specific type of complaint. The Florida Department of Health uses TOA at the… read more
    … if TOA could be used for identifying clusters of ED visits not filtered by any syndrome or sub-syndrome. In other words, can TOA detect a cluster of ED visits relating to a public health event, even if symptoms … The initial goal is to identify clusters of related ED visits whose keywords, signs and/or symptoms are NOT all …
  • Analytic Fusion of ESSENCE Clinical Evidence Sources for Routine Decision Support

    Content Type: Abstract

    Block 3 of the US Military Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE) system affords routine access to multiple sources of data. These include administrative clinical encounter records in the… read more
    … and others. CAPER records include a free-text Reason for Visit field, analogous to chief complaint text in civilian … and others. CAPER records include a free-text Reason for Visit field, analogous to chief complaint text in civilian … and others. CAPER records include a free-text Reason for Visit field, analogous to chief complaint text in civilian …
  • A collaboration to enhance detection of disease outbreaks clustered by time of patient arrival

    Content Type: Abstract

    One objective of public health surveillance is detecting disease outbreaks by looking for changes in the disease occurrence, so that control measures can be implemented and the spread of disease minimized. For this purpose, the… read more
    … Results This method was tested and validated on ED visit count data covering over 6 years and aggregated at …
  • Analytic Fusion for Essential Indicators of the Opioid Epidemic

    Content Type: Abstract

    Unlike other health threats of recent concern for which widespread mortality was hypothetical, the high fatality burden of opioid overdose crisis is present, steadily growing, and affecting young and old, rural and urban, military and civilian… read more
    … Traditional sources included emergency department (ED) visits and emergency management services (EMS) call records. … Traditional sources included emergency department (ED) visits and emergency management services (EMS) call records. …
  • The Tradeoffs Driving Policy and Research Decisions in Biosurveillance

    Content Type: Abstract

    Every public health monitoring operation faces important decisions in its design phase. These include information sources to be used, the aggregation of data in space and time, the filtering of data records for required… read more
    … alerting methods, we used 3 years of outpatient clinic visit data in which records were classified by syndrome and …
  • 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.
    … with ED data. We used 6 classifications of ILI ED visit data for this analysis: (1) A chief complaint with …
  • Data Visualization for Health Surveillance: Current Concepts and New Horizons

    Content Type: Webinar

    Presenters Wayne Loschen, Johns Hopkins University Applied Physics Laboratory (JHU-APL) Karl Soetebier, MPW, Georgia Division of Public Health Paul Picciano, PhD,… read more
    … for collaborators! §  Contact me at hardisty@psu.edu §  Visit the GeoVISTA Center Website …
  • Resolving the 'Boy Who Cried Wolf' Syndrome

    Content Type: Abstract

    To date, most syndromic surveillance systems rely heavily on complicated statistical algorithms to identify aberrations. The assumption is that when the statistics identify something unusual, follow-up should occur. However, with multiple strata… read more
    … Julie Plagenhoef, Julie.Plagenhoef@vdh.virginia.gov Phone: 804-864-8141 Advances in Disease Surveillance …