Displaying results 1 - 8 of 18
-
Exploring Syndrome Definition by Applying Clustering Methods to Electronic Health Records Data
Content Type: Abstract
Electronic Health Record (EHR) data offers the researcher a potentially rich source of data for tracking disease syndromes. Procedures performed on the patient, medications… read more -
Syndromic Surveillance Case Definition Development Using Recursive Partitioning Techniques for Highly Dimensional Databases
Content Type: Abstract
Seasonal influenza accounts for a high proportion of outpatient morbidity during the winter months. However, influenza case counts are greatly underestimated due to frequently undiagnosed influenza. Electronic medical record (EMR… read more -
Syndromic Surveillance Practice in the United States: Findings from a Survey of State, Territorial, and Selected Local Health Departments
Content Type: Abstract
In 2007-2008, the authors surveyed public health officials in 59 state, territorial, and selected large local jurisdictions in the United States regarding their conduct and use of syndromic surveillance. Fifty-two (88%) responded, representing areas… read more -
Predicting Probabilities of Flu Vaccination and Commuting Methods Having Elevated Flu Transmission Probabilities in New York City
Content Type: Abstract
Aerial transmission and direct contact are important factors for flu. Consequently, close contact with large groups of people, such as during mass transit, present opportunities for transmission. One protective method that… read more -
Automated Creation of High-Quality Maps Using SAS and Python
Content Type: Abstract
New York City ED syndromic surveillance data uses SaTScan to detect spatial signals. SaTScan analysis has been integrated into SAS since 2002, and signal maps have been generated from SAS since 2003. Signal maps are created occasionally to… read more -
Can Internet Searches Provide Useful Data For Public Health Surveillance?
Content Type: Abstract
Internet-based technologies have been used to assist in disease surveillance and reporting. The Public Health Agency of Canada operates the Global Public Health Information Network, credited with early notification of many outbreaks (… read more -
Algorithms to Characterize Syndromic Surveillance Spatial Alerts
Content Type: Abstract
This paper explores some visualization methods for characterizing spatial signals detected by SaTScan and discusses how these maps might aid in deciding whether to investigate a signal, as well as the scope and focus of the investigation. -
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