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Displaying results 705 - 712 of 1024
  • 911 and EMS data for detection of drinking water contamination

    Content Type: Abstract

    The Public Health Surveillance (PHS) component (one of five monitoring and surveillance components deployed in the Cincinnati drinking water contamination warning system) functions to detect public health incidents resulting from… read more
    … Dangel et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 7 Acknowledgements This paper was … Health Threats Journal C Dangel et al. 2011, 4:s14 www.eht-journal.org page 2/2 8 …
  • CEDESAP and REDesastres network with 'One Health" surveillance approach for the sanitary risk reduction in the agricultural sector

    Content Type: Case Study

    CEDESAP-REDesastres was developed as a result of the holistic approach needed to cope increases of sanitary disaster risks by emerging and reemerging diseases animal and plant diseases with high negative impact on human health, as well as other… read more
    … Influenza and H1N1 epidemic, West Nile, Anthrax, MERS-CoV, Ébola virus, Classical Swine Fever, Encephalomyelitis … Veterinary Medicine and Agronomy in Disasters. 1 http://www.censa.edu.cu/cedesap, redesastres-L@censa.edu.cu …
  • Beyond aberration detection, coping with multiple exceedances in a national syndromic surveillance service

    Content Type: Webinar

    Public Health England uses data from four national syndromic surveillance systems to support public health programmes and identify unusual activity. Each system monitors a wide range of respiratory, gastrointestinal and other syndromes at a local,… read more
    … Webinar Oct 2016, Roger Morbey 0. Where does the data come from? 5 Beyond aberration detection, ISDS Webinar Oct …
  • Analysis of Notifiable Diseases Detected by Syndromic Surveillance in Taiwan

    Content Type: Abstract

    The paper outlined the major findings and statistical results of syndromic surveillance system in Taiwan since year 2000.
    … Information: Jiunn-Shyan Julian Wu, julianwu@cdc.gov.tw www.cdc.gov.tw Advances in Disease Surveillance 2007;4:209 mailto:julianwu@cdc.gov.tw http://www.cdc.gov.tw/ Taiwan Centers for Diseases Control …
  • Clustering under the Null: One Reason for Too Many Signals

    Content Type: Abstract

    I examine the nature and expression of the null hypothesis often used in spatial surveillance. I also show an example of how incorrect specification of the null can lead to excess signals without interesting outbreaks, and argue that this may be a… read more
    … for the spa- tial and space-time scan statistics. http://www.satscan.org 2006 [3] Kulldorff M, Heffernan R, Hartman … Advances in Disease Surveillance 2007;2:52 http://www.satscan.org/ Clustering under the null: one reason for …
  • Access to and use of syndromic surveillance information at the local health department level

    Content Type: Abstract

    Syndromic surveillance data have been widely shown to be useful to large health departments. Use at smaller local health departments (LHDs) has rarely been described, and the effectiveness of various methods of delivering syndromic… read more
    … Samoff et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 78 LHDs, and some LHD staff members … Health Threats Journal E Samoff et al. 2011, 4:s111 www.eht-journal.org page 2/2 79 …
  • Description of the quality of public health case reports received at a local health department and potential impact on workflow

    Content Type: Abstract

    When a reportable condition is identified, clinicians and laboratories are required to report the case to public health authorities. These case reports help public health officials to make informed decisions and implement appropriate… read more
    … Rajeev et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 68 hospitalization status and physician … Health Threats Journal D Rajeev et al. 2011, 4:s108 www.eht-journal.org page 2/2 69 …
  • Fast subset scan for multivariate spatial biosurveillance

    Content Type: Abstract

    The spatial scan statistic detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over a large set of spatial regions. Several recent approaches have extended spatial scan to multiple data streams. Burkom… read more
    … Neill et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 3737 multiple data streams, as well as … Health Threats Journal DB Neill et al. 2011, 4:s42 www.eht-journal.org page 2/2 3838 …