Displaying results 2697 - 2704 of 4232
-
Minimizing False Alarms in Syndromic Surveillance
Content Type: Abstract
This paper describes a method of avoiding false alerts in automated syndromic surveillance algorithms which monitor the temporal relationship between a particular monitored syndrome (the ìtargetî) in relationship to other reference healthcare data… read more -
Mining Pattern Model of Influenza Surveillance
Content Type: Abstract
This paper presents an investigation using data mining techniques to model patterns of influenza from positive case demographics, symptoms and laboratory tests. -
Missouri's Syndromic Surveillance Experience
Content Type: Abstract
This abstract describes MissouriÃs experience with syndromic surveillance. Missouri has expanded from acquiring pre-tabulated data from volunteers to receiving patient-level data via electronic feeds from 85 hospitals across the state processed… read more -
Mixture Likelihood Ratio Scan Statistic for Disease Outbreak Detection
Content Type: Abstract
This article describes the methodology and results of Team #134Ãs submission to the 2007 ISDS Technical Contest. -
Modeling Clinician Detection Time of a Disease Outbreak Due to Inhalational Anthrax
Content Type: Abstract
We developed a probabilistic model of how clinicians are expected to detect a disease outbreak due to an outdoor release of anthrax spores, when the clinicians only have access to traditional clinical information (e.g., no computer-based alerts). We… read more -
BioSense 2.0 Webinar: Creating Syndrome Definitions Using RStudio
Content Type: Webinar
When public health practitioners use BioSense 2.0, they can view and analyze data on a variety of predetermined syndromes from infectious diseases (such as influenza) to injuries. However, some users may want to use tools to explore new and… read more -
Modeling Disease Surveillance and Assessing its Effectiveness for Detection of Acute Respiratory Outbreaks in Resource-Limited Settings
Content Type: Abstract
A U.S. Department of Defense program is underway to assess health surveillance in resource-poor settings and to evaluate the Early Warning Outbreak Reporting System. This program has included several information-gathering trips,… read more -
Modifications to Spatial Scan Statistics for Estimated Probabilities at Fine-Resolution in Highly Skewed Spatial Distributions
Content Type: Abstract
Estimation of representative spatial probabilities and expected counts from baseline data can cause problems in applying spatial scan statistics when observed events are sparse in a large percentage of the spatial zones (e.g.,… read more