Displaying results 265 - 272 of 4290
    
      
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Clustering under the Null: One Reason for Too Many SignalsContent 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
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Combining Laboratory Test Orders and Outpatient Visits to Monitor Respiratory IllnessContent Type: Abstract To evaluate whether joint monitoring of laboratory test orders and outpatient visits improves the sensitivity and timeliness of alerting during seasonal increases in respiratory illness.
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Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data SourcesContent Type: Abstract The objective of this paper is to examine the utility of Emergency Department and Telehealth data for Syndromic Surveillance. This works attempts to minimize false outbreak detection. It also demonstrates that these two data sources contain… read more
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Comparing Telehealth and NACRS Influenza Activity to Fluwatch Surveillance Using EARS-XContent Type: Abstract This paper will use CDCÃs EARS-X to examine Tele-healthÃs potential as an early warning system specifically for influenza-like illness compared to NACRS, as well as qualitatively comparing the resultant EARS flags to peaks in influenza activity… read more
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Comparing the Utility of Ambulatory Care and Emergency Room Data for Disease Outbreak DetectionContent Type: Abstract To compare the ability to detect disease outbreaks of separate and combined data streams from ambulatory care and emergency department from Harvard Pilgrim Health Care.
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Comparison of 2005-2007 Influenza-Like Illness Observed from Emergency Department Visits in Miami-Dade CountyContent Type: Abstract The purpose of this study was to compare the 2005- 2006 and 2006-2007 Influenza seasons using Influenza-like illness (ILI) data received from Emergency Departments in Miami-Dade County.
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Ensuring confidentiality and safety of cancer registry data in Kumasi, GhanaContent Type: Abstract Cancer registration involves collecting information on patients with cancer. Population-based cancer registries in particular are useful in estimating the disease burden and to inform the institution of prevention and control measures. Collecting… read more
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Comparison of Aberration Detection Algorithms for Syndromic SurveillanceContent Type: Abstract This paper describes a study of various aberration detection algorithms currently used in syndromic surveillance and one based on artificial neural networks developed at Guelph. The goal of the research is not to select one ìwinningî algorithm but… read more
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