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Displaying results 17 - 24 of 449
  • BioSense 2.0 Webinar: Data Flow

    Content Type: Webinar

    Presenters Mike Alletto and Nabarun Dasgupta will describe the process of how data are received, processed and brought forward to the front-end application in BioSense v2.0. Their presentation will include a technical overview of all of the steps… read more
    … and loading data to the BioSense application. Compare visit-level records on the front-end application with records in the back-end lockers and understand where the fields originated … then$the$visit$is$counted$but$no$syndrome$is$listed.$ …  the  front-­‐end  application  with  records  in  the   back-­‐end  lockers  and  understand  where  the  fields …
  • CDC All Drug Overdose v2

    Content Type: Syndrome

    Query purpose: To assist state, local, tribal, territorial, and federal public health practitioners in monitoring emergency department (ED) visits for suspected overdoses of any drug. How it was developed: CDC… read more
    … code indicating a drug poisoning is present, the ED visit is automatically included in the syndrome. In … area^,or,^crack cast^,or,^back crack^,or,^crack of^,or,^crack … case^,or,^case of coke^,or,(,^rum^,and,^coke^,),or,^jack and coke^,or,^coke tea^,or,^coffee coke^,or,^delirium …
  • Sensitivity and Specificity of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome in the Turkish Language

    Content Type: Abstract

    Previously we developed an “Ngram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in Turkish for bioterrorism. The classifier is developed from a set of ED visits for which both the ICD… read more
    … in that it assigns a probability that each visit falls within the syndrome rather than ruling the visit “in” or “out” of the syndrome. It is possible … classifiers in that it assigns a probability that each visit falls within the syndrome rather than ruling the visit …
  • Regional Syndromic Surveillance Data Sharing Workshop: HHS Region 3

    Content Type: Report

    A Regional Syndromic Surveillance Data Sharing Workshop was held in Health and Human Services (HHS) Region 3 on June 9-10, 2015 at the offices of the District of Columbia Department of Health. This was the eighth workshop in a series, with… read more
    … developed and shared analyses of ILI ED visit trends between MMWR Week 40, 2014 through MMWR Week 21, 2015 and drug overdose ED visit trends between MMWR Week 1, 2014 through MMWR Week 21, … participants developed and shared analyses of ILI ED visit trends between MMWR Week 40, 2014 through MMWR Week …
  • The NGram CC Classifier: A Novel Method of Automatically Creating CC Classifiers Based on ICD9 Groupings

    Content Type: Abstract

    Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but… read more
    … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which … to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but the ICD9 … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which …
  • Alabama Department of Public Health–Syndromic Surveillance Monitoring and Improving Data Quality

    Content Type: Success Stories

    Data latency limited the Alabama Department of Public Health’s (ADPH) ability torecognize and respond quickly to public health threats. Despite ADPH’s request that 95% of syndromic surveillance (SyS) data be submitted to ESSENCE* within 24… read more
    … (SyS) data be submitted to ESSENCE* within 24 hours of a visit, some facilities were slow to process and submit data, … (SyS) data be submitted to ESSENCE* within 24 hours of a visit, some facilities were slow to process and submit data, … (SyS) data be submitted to ESSENCE* within 24 hours of a visit, some facilities were slow to process and submit data, …
  • Crowdout: When do other events hinder informal disease surveillance?

    Content Type: Abstract

    Informal surveillance systems like HealthMap are effective at the early detection of outbreaks. However, reliance on informal sources such as news media makes the efficiency of these systems vulnerable to newsroom constraints, namely high-profile… read more
    … likely to occur. Document Crowdout_When_Do_Other_Events_Hinder_Informal_Disease_Surveillance.pdf 4 views Submitted … Crowdout: when do other events hinder informal disease surveillance? David Scales*, Emily … Crowdout: When do other events hinder informal disease surveillance? …
  • Oregon ESSENCE: Using ESSENCE for Mass Gathering Surveillance

    Content Type: Report

    Syndromic surveillance is the near real-time monitoring of key health indicators in emergency department (ED) and urgent care visits. Oregon ESSENCE tracks the number of visits for specific patient symptoms using… read more
    … (what the patient says is the reason for their visit) and discharge diagnosis codes. Visit information is collected from EDs and urgent care … complaints (what the patient says is the reason for their visit) and discharge diagnosis codes. Visit information is …