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Displaying results 177 - 184 of 570
  • Monitoring Influenza Activity Using the BioSense System, 2003-2005

    Content Type: Abstract

    One of the standard approaches to public health surveillance for influenza is to monitor the percent of visits to about 2000 sentinel physicians for influenza-like illness (%ILI; fever plus cough or sore throat). The BioSense System currently… read more
    … surveillance for influenza is to monitor the percent of visits to about 2000 sentinel physicians for influenza-like … surveillance for influenza is to monitor the percent of visits to about 2000 sentinel physicians for influenza- like … was one week before or after the seasonal increase in ILI visits to sentinel physicians. Data were analyzed for the …
  • BioDefend Syndromic Surveillance System Influenza Activity Detection

    Content Type: Abstract

    Many syndromic surveillance systems have been developed and are operational, yet lack concise guidelines for investigating and conducting followups on daily alarms. Daily emergency department visits from six reporting hospitals… read more
    … followups on daily alarms. Daily emergency department visits from six reporting hospitals in the Duval County area … ups on daily alarms. Daily emergency department (ED) visits from six reporting hospitals in the Duval County area … increase was observed in statewide sentinel provider ILI visits coincidently with an overall increase in laboratory …
  • Data Quality

    Content Type: Use Case

    Problem Summary Data collection across a growing stream of contributing facilities and variables requires automated, consistent, and efficient monitoring of quality. Epidemiologists tasked with analyzing syndromic data need to be confident in the… read more
    … Seattle &King County (WA); Marion County (IN) Phone: 206-263-8154 (Seattle & King County) or 317-221-3362 … facility and jurisdictional level. Volume of patient visits and the severity of the missing variable to analytic … that can be provided to address the problem: Unique visit ID, Visit Date, Chief Complaint, Facility ID, Age, …
  • Fast Graph Structure Learning from Unlabeled Data for Outbreak Detection

    Content Type: Abstract

    Disease surveillance data often has an underlying network structure (e.g. for outbreaks which spread by person-to-person contact). If the underlying graph structure is known, detection methods such as GraphScan (1) can be used to identify an… read more
    … the time series of observed counts (e.g. daily hospital visits for each zip code). Objective Our goal is to learn … the time series of observed counts (e.g., daily hospital visits for each zip code). Methods Our solution builds on … the time series of observed counts (e.g. daily hospital visits for each zip code). Objective Our goal is to learn …
  • Special Event Data

    Content Type: Use Case

    Problem Summary A truncated historical dataset is provided from one or more subregions with multiple participating hospitals with enough variety in the patient volume and demographics to make the problem challenging and to generate alerting… read more
    …  or  affiliation:     Florida  Dept.  of  Health   Phone:     Email:   david.atrubin@flhealth.gov   …  truncated  dataset  consist  of  date  and  time  of  visit,  patient  residence  zip  code,  and  consistent   …   Minimum  data  elements:  date  and  time  of  visit,  patient  residence  zip  code,  and  consistent …
  • Exploring the Expanded PHIN Messaging Guide for Syndromic Surveillance

    Content Type: Webinar

    ISDS, in collaboration with and with the support of CDC, recently released a new version of the PHIN Messaging Guide for Syndromic Surveillance. This Guide expands on previous versions and includes specifications for transmitting… read more
    …  (TreaBng)     Message  Date/Time     Unique  PaBent/Visit  IdenBfier     Age     Age  Units*  (Condi'onal)     …     PaBent  Country     Chief  Complaint/  Reason  for  Visit     Admit  or  Encounter  Date/Time   PaBent  Class   …  feedback  on  drao  versions  of  this  Guide  through   phone  calls,  discussion  forum,  and  email   Special …
  • Talking Turkish: Using N-Grams for Syndromic Surveillance in a Turkish Emergency Department without the Need for English Translation

    Content Type: Abstract

    Previously we used an “N-Gram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in English for bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are… read more
    … bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are … bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are … University hospital ED in Turkey. Participants: All ED visits in the database for 2002. Protocol: Two of the …
  • Utilities of Maryland’s syndromic surveillance system: identifying threats, case investigation and situational awareness

    Content Type: Abstract

    Maryland’s electronic surveillance system for the early notification of community-based epidemics (ESSENCE) data includes emergency department visits from all acute care hospitals, over-the-counter medication sales and poison control data that cover… read more
    … epidemics (ESSENCE) data includes emergency department visits from all acute care hospitals, over-the-counter … epidemics (ESSENCE) data includes emergency department visits from all acute care hospitals, over-the-counter … epidemics (ESSENCE) data includes emergency department visits from all acute care hospitals, over-the-counter …