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Displaying results 385 - 392 of 458
  • Automatic and Secure Data Transfer of Syndromic Data between Hospitals and Public Health Using the PHINMS

    Content Type: Abstract

    The Public Health Information Network (PHIN) Messaging Service (PHINMS) is a PHIN-certified messaging system, initiated and supported by the Centers for Disease Control & Prevention. PHINMS is widely used by many… read more
    … DHEC sends hospital specific data and sum- mary reports back to hospitals automatically via our Auto Send program, … has proved successful. Issues associated with sending back data to hospitals through PHINMS will be addressed. … issues with delivering hospital-specific syndromic data back to the hospital through the PHINMS. PHINMS has shown …
  • A Closer Look at Developing a Statewide Emergency Department Syndromic Surveillance System in a Rural State

    Content Type: Abstract

    This paper describes the issues associated with the creation of a statewide emergency department syndromic surveillance system, part of the South Carolina Aberration Alerting Network (SCAAN), in a predominately rural state.
    … syndromic data and summary reports will be delivered back to the hospitals via the same dedicated Public Health … office staff. Hospital-specific informa- tion was sent back daily to each hospital and their infection control … issues with deliv- ering hospital-specific syndromic data back to the hospital through the PHINMS. The ED …
  • An exploratory analysis of the 2010 measles outbreak in Zimbabwe

    Content Type: Abstract

    This report describes an exploratory analysis of the 2009-2010 Zimbabwe measles outbreak based on data publicly available in the World Health Organization's Zimbabwe cholera epidemiological bulletin archive. As of December 12th 2010, the outbreak… read more
    … bulletin number 89. http://www.who.int/entity/hac/crises/zwe/sitreps/zwe_ epi_12december2010.pdf, Aug 18, … epidemiological bulletin archive. http://www.who.int/hac/crises/zwe/sitreps/epi_archive/ en/index.html, Aug 18, … - DOI: 10.3402/ehtj.v4i0.11064 http://www.who.int/entity/hac/crises/zwe/sitreps/zwe_epi_12december2010.pdf …
  • Automated Surveillance To Detect An Influenza Epidemic: Which Respiratory Syndrome Should We Monitor?

    Content Type: Abstract

    OBJECTIVE Syndromic surveillance systems (SSS) seek early detection of infectious diseases outbreaks by focusing on pre-diagnostic symptoms. We do not yet know which respiratory syndrome should be monitored for a SSS to discover… read more
    … week of the study year. To distinguish between true- and back- ground-positive alarms, the daily statistics were per- formed on paired background+injection vs. back- ground-only time series. We computed two bench- marks: …
  • Application of Natural Language Parsers To Syndromic Surveillance

    Content Type: Abstract

    This paper describes a methodology for applying natural language parsing (NLP) technologies, originally developed for analyzing biomedical journal articles, to the monitoring of emergency department patient charts for infectious diseases of interest.
    … and concepts. To overcome a limitation of MMTx – namely lack of negation detection – GUARDIANTM also uses NegEx6. … medical journal articles3,4,5,6; however, patient charts lack the same editorial process and thus commonly exhibit …
  • The Use of Rapid Diagnostic Assays to Supplement Syndromic Surveillance: Preliminary Results of a Pilot Project in New York City

    Content Type: Abstract

    Syndromic surveillance systems can detect increases in respiratory and gastrointestinal illness, but diagnosis of etiologic agents can be delayed due to difficult, time-consuming identification and low rates of testing for viral pathogens. Rapid… read more
    … difficult. The pace of clinical care within the ED, the lack of dedicated clinical staff, and the perceived lack of benefit of the testing to clinical care resulted in …
  • Recursive Least Squares Prediction of Syndromic Data for Surveillance

    Content Type: Abstract

    This paper describes a method to predict syndromic data for surveillance of public health using the method of recursive least squares and a new method of correcting for the day of week effect in order to have a prediction of… read more
    … interested in using the above method for predicting a “back- ground” from a single syndromic data channel. A major … obtained. Adaptively corrected data are used to predict “back- ground” counts. RESULTS The new integrated method is …
  • Standard Operation Procedures for Three Syndromic Surveillance Systems in Washoe County, Nevada - A Local Perspective

    Content Type: Abstract

    Washoe County District Health Department (WCDHD) is a local health district serving nearly 400,000 residents in Washoe County including cities of Reno and Sparks, the second largest urban area in Nevada. To enhance overall public health surveillance… read more
    … date, current users, URL if web-based, default and back-up manager, manager’s responsibilities, and overview of … system developers. Step 3-8 also includes default and back-up responsible persons. CONCLUSIONS Although this …