Displaying results 33 - 40 of 535
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Correlation Between HL-7 Microbiology and Pharmacy Out Patient Data: A Case Study Using Influenza
Content Type: Abstract
The Navy Environmental Health Center is developing Health Level-7 data for use in syndromic surveillance activities. The objective of this study is to identify the usefulness of that data to identify and track influenza patients through pharmacy… read more -
Correlation between Influenza and Respiratory Syncytial Virus Isolates and Emergency Department Visits, Los Angeles County, 2005-2006
Content Type: Abstract
This study describes the ability by which total volume of ED visits correlate with influenza and respiratory syncytial virus (RSV) activity in the community. -
Correlation between Real-Time BioSense Influenza Indicators and Data from the U.S. Influenza Sentinal Physicians Surveillance Network
Content Type: Abstract
Objective The objective of this study was to determine which chief complaints and ICD-9-CM coded diagnoses from real-time BioSense hospital data correlate well with data from conventional influenza surveillance systems. -
Could Outpatient Visits Enhance Our Ability of Early Detecting Influenza-Like Illness Outbreaks?
Content Type: Abstract
This paper describes HHC outpatient data and evaluates the performance for early influenza-like illness (ILI) outbreak detection. We compare its detection ability to that of the emergency department (ED) data and of the two data sources… read more -
Rates and causes of stillbirth in a demographic surveillance site in Karachi, Pakistan
Content Type: Abstract
Stillbirth remained a neglected issue absent from mention in Millennium Development Goals. An estimated 2.6 million babies are stillborn every year with highest rate in Pakistan, 43.1 stillbirths/1000 births. There is lack of good quality… read more -
Automated Surveillance of Outpatients with Pneumonia: A Performance Evaluation
Content Type: Abstract
Effective responses to epidemics of infectious diseases hinge not only on early outbreak detection, but also on an assessment of disease severity. In recent work, we combined previously developed ARI case-detection algorithms (CDA) [1] with text… read more -
Bayesian Contact Tracing for Communicable Respiratory Disease
Content Type: Abstract
The evolution of novel influenza viruses in humans is a bio- logical phenomenon that can not be stopped. All existing data suggest that vaccination against the morbidity and mortality of the novel influenza viruses is our best line of defence.… read more -
BioSense 2.0
Content Type: Abstract
BioSense 2.0 protects the health of the American people by providing timely insight into the health of communities, regions, and the nation by offering a variety of features to improve data collection, standardization, storage, analysis, and… read more