Displaying results 161 - 168 of 1295
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Characterizing Socioeconomic Disparities in the Burden of Influenza and RSV Using Surveillance Data
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. -
Chart Review of Laboratory-Confirmed Salmonella Enteritidis Cases in a Local Food Borne Outbreak Linked to Mung Bean Sprouts
Content Type: Abstract
A retrospective chart review was performed to examine chief complaint, syndrome classification and discharge diagnoses of laboratory confirmed Salmonella Enteritidis phage type (PT) 13 cases who visited the Emergency Departments (ED) of two local… read more -
Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers
Content Type: Abstract
To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance. -
Choice of Baseline Period for Limited Baseline Aberration Detection Methods
Content Type: Abstract
This paper evaluates the operating characteristics of limited baseline aberration detection methods using different lengths (7-28 days) and end dates (1-7 days prior to the current day) for the baseline period using simulated outbreaks added to real… read more -
Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance
Content Type: Abstract
We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI. -
Clostridium Difficile, Surveillance Using Laboratory Data from BioSense Hospitals
Content Type: Abstract
To determine the feasibility of using BioSense laboratory data to do surveillance on Clostridium difficile infection (CDI) and calculate overall and facility rates of disease. -
Cluster Detection Incorporating Lagged Test Data
Content Type: Abstract
Using New York CityÃs dead bird surveillance for West Nile Virus (WNV), this paper presents two explorations of the spatial cluster detection problem in which lagged test results are available for a random subset of observations. First, we… read more -
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