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Emergency department syndromic surveillance providing early warning of seasonal respiratory activity in England

  • H E Hughes
  • , R Morbey
  • , T C Hughes
  • , T E Locker
  • , R Pebody
  • , H K Green
  • , J Ellis
  • , G E Smith
  • , A J Elliot

Research output: Contribution to journalArticle (Academic Journal)peer-review

23 Citations (Scopus)

Abstract

Seasonal respiratory infections place an increased burden on health services annually. We used a sentinel emergency department syndromic surveillance system to understand the factors driving respiratory attendances at emergency departments (EDs) in England. Trends in different respiratory indicators were observed to peak at different points during winter, with further variation observed in the distribution of attendances by age. Multiple linear regression analysis revealed acute respiratory infection and bronchitis/bronchiolitis ED attendances in patients aged 1-4 years were particularly sensitive indicators for increasing respiratory syncytial virus activity. Using near real-time surveillance of respiratory ED attendances may provide early warning of increased winter pressures in EDs, particularly driven by seasonal pathogens. This surveillance may provide additional intelligence about different categories of attendance, highlighting pressures in particular age groups, thereby aiding planning and preparation to respond to acute changes in EDs, and thus the health service in general.

Original languageEnglish
Pages (from-to)1052-64
Number of pages13
JournalEpidemiology and Infection
Volume144
Issue number5
DOIs
Publication statusPublished - Apr 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Acute Disease
  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Bronchiolitis/epidemiology
  • Child
  • Child, Preschool
  • Emergency Service, Hospital/statistics & numerical data
  • England/epidemiology
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Middle Aged
  • Public Health Surveillance
  • Regression Analysis
  • Respiratory Syncytial Virus Infections/epidemiology
  • Respiratory Syncytial Viruses/isolation & purification
  • Respiratory Tract Infections/epidemiology
  • Young Adult

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