Displaying results 9 - 16 of 22
-
Real Time Syndromic Surveillance Response to UK Flooding Incident 2007
Content Type: Abstract
Wetter and stormier weather is predicted in the UK as global temperatures rise. It is likely there will be increases in river and coastal flooding. The known short and medium term health effects of flooding are drowning, injury, acute asthma, skin… 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 -
Syndromic surveillance of air pollution incidents across international borders
Content Type: Abstract
The impact of poor air quality (AQ) on human health is a global issue, with periods of poor AQ known to occur in multiple locations, across different countries at, or around the same time. The Public Health England (PHE) Emergency Department… read more -
The importance of age-specific data in routine syndromic surveillance
Content Type: Abstract
When monitoring public health incidents using syndromic surveillance systems, Public Health England (PHE) uses the age of the presenting patient as a key indicator to further assess the severity, impact of the incident, and to provide intelligence… read more -
The Burden of Seasonal Respiratory Pathogens on a New National Telehealth System
Content Type: Abstract
Seasonal rises in respiratory illnesses are a major burden on primary care services. Public Health England (PHE), in collaboration with NHS 111, coordinate a national surveillance system based upon the daily calls received at the NHS 111 telehealth… read more -
Using Scenarios and Simulations to Validate Syndromic Surveillance Systems
Content Type: Abstract
Whilst the sensitivity and specificity of traditional laboratory-based surveillance can be readily estimated, the situation is less clear cut for syndromic surveillance. Syndromic surveillance indicators based upon presenting symptoms, chief… read more -
Using Bayesian Networks to Assist Decision-Making in Syndromic Surveillance
Content Type: Abstract
Syndromic surveillance systems often produce large numbers of detections due to excess activity (alarms) in their indicators. Few alarms are classified as alerts (public health events that may require a response). Decision-making in syndromic… read more -
A Syndromic Surveillance Service Supporting Environmental Public Health Incidents
Content Type: Abstract
Public Health England has developed a suite of syndromic surveillance systems, collecting data from a number of health care sources, and linking to public health action to try and improve the public health benefit of the surveillance.1 We aim to… read more