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Developing and validating a new national remote health advice syndromic surveillance system in England.
- Source :
-
Journal of public health (Oxford, England) [J Public Health (Oxf)] 2017 Mar 01; Vol. 39 (1), pp. 184-192. - Publication Year :
- 2017
-
Abstract
- Background: Public Health England (PHE) coordinates a suite of real-time national syndromic surveillance systems monitoring general practice, emergency department and remote health advice data. We describe the development and informal evaluation of a new syndromic surveillance system using NHS 111 remote health advice data.<br />Methods: NHS 111 syndromic indicators were monitored daily at national and local level. Statistical models were applied to daily data to identify significant exceedances; statistical baselines were developed for each syndrome and area using a multi-level hierarchical mixed effects model.<br />Results: Between November 2013 and October 2014, there were on average 19 095 NHS 111 calls each weekday and 43 084 each weekend day in the PHE dataset. There was a predominance of females using the service (57%); highest percentage of calls received was in the age group 1-4 years (14%). This system was used to monitor respiratory and gastrointestinal infections over the winter of 2013-14, the potential public health impact of severe flooding across parts of southern England and poor air quality episodes across England in April 2014.<br />Conclusions: This new system complements and supplements the existing PHE syndromic surveillance systems and is now integrated into the routine daily processes that form this national syndromic surveillance service.<br /> (© Crown copyright 2016.)
- Subjects :
- Adolescent
Adult
Aged
Aged, 80 and over
Child
Child, Preschool
Emergency Service, Hospital
England epidemiology
Female
General Practice
Humans
Infant
Male
Middle Aged
Models, Statistical
Remote Consultation
State Medicine
Young Adult
Population Surveillance methods
Public Health
Statistics as Topic standards
Subjects
Details
- Language :
- English
- ISSN :
- 1741-3850
- Volume :
- 39
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of public health (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 26956114
- Full Text :
- https://doi.org/10.1093/pubmed/fdw013