Sentinel GP respiratory surveillance Previously Sentinel Flu Surveillance

The sentinel GP surveillance system is a collaborative surveillance project involving sentinel GPs, the Health Protection Surveillance Centre, the Irish College of General Practitioners (ICGP) and the National Virus Reference Laboratory (NVRL).

Currently, the sentinel GP network monitors patients consulting with influenza-like illness (ILI)/COVID-19 symptomatic patients. The influenza and COVID-19 case definitions are published on the HPSC website. A combined nasal and throat swab is taken from symptomatic patients and sent to the NVRL for PCR testing for influenza, SARS-CoV-2, RSV and ORVs. HPSC collate and analyse clinical, epidemiological and laboratory data and produce weekly/monthly surveillance reports.

Purpose: 1. Monitor COVID-19/influenza-like illness (ILI) disease incidence in the community 2. Provide an early warning system for the circulation of influenza virus, SARS-CoV-2, respiratory syncytial virus (RSV) and other respiratory viruses (ORV) with epidemic/pandemic potential 3. Monitor the epidemiology of COVID-19, influenza, RSV and ORV in the community and to determine which age groups and risk groups are most affected, so that targeted public health interventions (vaccines and antivirals) can

Coverage: Data collection commenced in 2000. Data collection is weekly (Monday-Sunday) and runs year-round.

As of 8th August 2022, the Irish sentinel GP network comprised of 61 general practices (including 173 general practitioners) nationally and covered approximately 6.9% of the national population (2016

Data and Resources

This dataset has no data

Additional Info

Field Value
Contact points
Contact point 1
URI
Name
Health Protection Surveillance Centre
Email
data@health-protection-su.ie
Identifier
Publisher
Publisher 1
URI
Name
Health Protection Surveillance Centre
Email
URL
Type
http://purl.org/adms/publishertype/NationalAuthority
Identifier
Creator
Homepage
Landing page
Release date January 1, 2000
Modification date May 11, 2023
Version
Version notes
Identifier NDC-0116
Frequency http://publications.europa.eu/resource/authority/frequency/QUARTERLY
Provenance

Participating sentinel GPs report a basic dataset on ILI clinical consultations each week to the sentinel GP coordinator. The sentinel GP coordinator collates the data and reports it to HPSC each week. These data are used for calculating sentinel GP ILI consultation rates. A more detailed epidemiological dataset is reported on Healthlink as part of the sentinel GP COVID-19 referral process, which at the time of publication was integrated into processes for COVID-19 community testing centres. HPSC access these referral data via the Healthlink reporting portal. Virological data from the sentinel GP network are reported to HPSC from the NVRL each week. Clinical, epidemiological and virological data are formatted and validated, analysed and reported by HPSC.

Type
Temporal coverage
Temporal coverage 1
Start
January 1, 2000
End
May 6, 2024
Temporal resolution
Spatial coverage
Spatial coverage 1
URI
http://publications.europa.eu/resource/authority/country/IRL
Label
Ireland
Geometry
Bounding Box
Centroid
Spatial resolution in meters
Access rights http://publications.europa.eu/resource/authority/access-right/RESTRICTED
Other identifier
Theme
  1. http://publications.europa.eu/resource/authority/data-theme/HEAL
Language
  1. http://publications.europa.eu/resource/authority/language/ENG
Documentation
Conforms to
Is referenced by
Analytics
Applicable legislation
Has version
Code values
Coding system
Purpose
Health category
  1. http://health.europa.eu/ehds/category/public-health
  2. http://health.europa.eu/ehds/category/registries
Health theme
  1. http://health.europa.eu/theme/mental-health
Legal basis
Minimum typical age 15
Maximum typical age 75
Number of records 1221769
Number of records for unique individuals. 93169
Personal data
Publisher note
Publisher type
Trusted Data Holder
Population coverage
Retention period
Health data access body
Qualified relation
Provenance Activity
URI
Qualified Attribution
Quality annotations