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Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15

Authors :
Sue Smith
Roger Morbey
Richard G. Pebody
Thomas C. Hughes
Simon de Lusignan
F. Alex Yeates
Helen Thomas
Sarah J. O’Brien
Gillian E. Smith
Alex J. Elliot
Source :
Emerging Infectious Diseases, Vol 23, Iss 11, Pp 1834-1842 (2017)
Publication Year :
2017
Publisher :
Centers for Disease Control and Prevention, 2017.

Abstract

During winter 2014–15, England experienced severe strains on acute health services. We investigated whether syndromic surveillance could contribute to understanding of the unusually high level of healthcare needs. We compared trends for several respiratory syndromic indicators from that winter to historical baselines. Cumulative and mean incidence rates were compared by winter and age group. All-age influenza-like illness was at expected levels; however, severe asthma and pneumonia levels were above those expected. Across several respiratory indicators, cumulative incidence rates during 2014–15 were similar to those of previous years, but higher for older persons; we saw increased rates of acute respiratory disease, including influenza like illness, severe asthma, and pneumonia, in the 65–74- and >75-year age groups. Age group–specific statistical algorithms may provide insights into the burden on health services and improve early warning in future winters.

Details

Language :
English
ISSN :
10806040 and 10806059
Volume :
23
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Emerging Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.7b9182509a6a4fd9b0b935affbd083e0
Document Type :
article
Full Text :
https://doi.org/10.3201/eid2311.161632