Displaying results 297 - 304 of 4177
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Linking Public Health and Healthcare Data for Syndromic Surveillance
Content Type: Abstract
A number of syndromic surveillance systems include tools that quickly identify potentially large disease outbreak events. However, the high falsepositive rate continues to be a problem in all of these systems. Our earlier work… read more -
Medicaid Prescription Data for Detection of Influenza-Like Illness
Content Type: Abstract
The New York State (NYS) Medicaid Program provides healthcare for 34% of the population in New York City (NYC) and 4%-20% in each of the 57 county populations up-state. Prescription data are collected through the sub-mission of claims forms to the… read more -
Modelling the Contribution of Infectious Pathogens to the Seasonality of Syndromic Data
Content Type: Abstract
Calls to NHS Direct (a national UK telephone health advice line) which may be indicative of infection show marked seasonal variation, often peaking during winter or early spring. This variation may be related to the seasonality of common viruses.… read more -
Nurse Call Data for Detection of Influenza-Like Illness
Content Type: Abstract
Influenza affects millions of people and causes about 36,000 deaths in the United States each winter. Pandemics of influenza emerge at irregular intervals. National influenza surveillance is used to detect the emergence and spread of influenza virus… read more -
Primary Care Surveillance in the UK - Actions, Outcomes, Benefits
Content Type: Abstract
Routine primary care data provide the means to systematically monitor a variety of syndromes which could give early warning of health protection issues (microbiological and chemical). It is possible to track milder illnesses which may not present to… read more -
Propagating the Effects of Missing Data Sources in a Surveillance System
Content Type: Abstract
A common problem in syndromic surveillance using ED department data is temporary gaps in the data received from individual ED departments caused by delays in receiving the data. Currently most syndromic surveillance systems provide information… read more -
Recursive Least Squares Prediction of Syndromic Data for Surveillance
Content Type: Abstract
This paper describes a method to predict syndromic data for surveillance of public health using the method of recursive least squares and a new method of correcting for the day of week effect in order to have a prediction of… read more -
Sensibility and Specificity of Syndromic System for Influenza Based on General Practitioners Network in Gironde, France
Content Type: Abstract
To determine sensitivity and specificity of syndromic surveillance of influenza based on data from SOS Medecins, a healthcare network of emergency general practitioners (GP) in Bordeaux, France.