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Displaying results 337 - 344 of 826
  • Content Type: Abstract

    To measure the impact, within administrative geographic areas, of household income on rates of visits due influenza and RSV among children using real-time syndromic surveillance.
    … towards defining this relationship. Given the mounting con- cern over an influenza pandemic disaster, the ques- … due to influenza and RSV of 14.4 per 1,000 visits (95% con- fidence interval [CI], 17.3-11.6 per 1,000). There is … contact John Brownstein, john_brownstein@harvard.edu www.chip.org Advances in Disease Surveillance 2007;2:94 …
  • Content Type: Abstract

    The benefits of inter-jurisdictional data sharing have been touted as a hallmark of BioSense 2.0, a cloud-based computing platform for syndromic surveillance. A key feature of the BioSense 2.0 platform is the ability to share data across… read more
    … Full copy of Report and Appendices available here: http://www.syndromic.org/resources/data- sharing ! ! ' ! … sharing, positive working relationships and trust must come first. To promote inter-jurisdictional syndromic … to assure inter-rater reliability. 2 http://www.dedoose.com/ Regional Data Sharing Workshop Report "9" Workshop …
  • Content Type: Abstract

    The objectives of this consultation, supported by the International Society for Disease Surveillance (ISDS), were to develop expert, consensus-based recommendations to promote Canadian and U.S. collaboration in using syndromic surveillance (SS) to… read more
    … model using a Wiki (accessible via the ISDS Web page, www.syndromic.org) although a key difference is that the … Food recalls and allergy alerts. CFIA Web site. http://www.inspection.gc.ca/eng- … withdrawals and safety alerts. FDA Web site. http://www.fda. gov/opacom/7alerts.html. 3. Public Health Agency of …
  • Content Type: Abstract

    Objective Several authors have described ways to introduce artificial outbreaks into time series for the purpose of developing, testing, and evaluating the effectiveness and timeliness of anomaly detection algorithms, and more… read more
    … the efficiency of using time series data several fold com- pared to when just a single artificial outbreak is …
  • Content Type: Abstract

    Of the 13 million people in Malawi1 85% are rural and the country has high burden of under-five morbidity and mortality due to preventable infectious diseases. Respiratory, febrile and diarrhea diseases are the top 3 morbidity and mortality… read more
    … Importance; 2003. *Rudia Lungu E-mail: rglungu@gmail.com (page number not for citation purpose) �ISDS 2011 …
  • Content Type: Abstract

    This panel member consultation is an International Society of Disease Surveillance (ISDS) sponsored project. It involved expert personnel in their respective area to address specific, priority questions confronting researchers, developers, and… read more
    … respec- tive area to address specific, priority questions con- fronting researchers, developers, and public health … used in various syndromic surveillance system, budget con- straints, and the veracity and usefulness of compiled … Retrieved July 18, 2007 from the World Wide Web: http://www.fas.org/sgp/crs/terror/RL32152.html [3] “Emergency …
  • Content Type: Abstract

    Consider the most likely disease cluster produced by any given method, like SaTScan,  for the detection and inference of spatial clusters in a map divided into areas; if this cluster is found to be statistically significant, what could be… read more
    … et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 4747 The Monte Carlo simulation requires … spatial and space-time scan statistics. Tech Rep http://www.satscan.org/ 2006. 2 Rosychuk RJ. Identifying geographic … Health Threats Journal FLP Oliveira et al. 2011, 4:s47 www.eht-journal.org page 2/2 4848 …
  • Content Type: Success Stories

    Agriculture can be a hazardous industry. Farmers, and oftentimes their family members, are at high risk for injuries, fatalities, and illness. Risks include exposure to pesticides on crop farms and use of tractors, farming equipment, and other… read more
    … he identified agriculture injuries by using ICD-10 CM codes: W30 (contact with agricultural machinery), Y92.7 … he identified agriculture injuries by using ICD-10 CM codes: W30 (contact with agricultural machinery), Y92.7 … 2017 Jun 6 [cited 2017 Sep 7]. Available from: https://www.cdc.gov/niosh/topics/aginjury/default.html 2 US …