Emergency department syndromic surveillance providing early warning of seasonal respiratory activity in England
Autor: | Roger Morbey, Joanna Ellis, Helen E Hughes, Thomas Hughes, Helen K. Green, Alex J. Elliot, Richard Pebody, Gillian E. Smith, Thomas E Locker |
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Rok vydání: | 2015 |
Předmět: |
Adult
Male 0301 basic medicine medicine.medical_specialty Adolescent Epidemiology 030106 microbiology Respiratory Syncytial Virus Infections Young Adult 03 medical and health sciences 0302 clinical medicine Public health surveillance medicine Humans Public Health Surveillance 030212 general & internal medicine Child Intensive care medicine Respiratory Tract Infections Aged Aged 80 and over Influenza-like illness Respiratory tract infections business.industry Infant Newborn Attendance Infant Respiratory infection Emergency department Middle Aged medicine.disease Respiratory Syncytial Viruses Infectious Diseases England Bronchiolitis Child Preschool Acute Disease Emergency medicine Regression Analysis Bronchitis Female Emergency Service Hospital business |
Zdroj: | Epidemiology and Infection. 144:1052-1064 |
ISSN: | 1469-4409 0950-2688 |
DOI: | 10.1017/s0950268815002125 |
Popis: | SUMMARYSeasonal 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. |
Databáze: | OpenAIRE |
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