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

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 hi...

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Autores principales: Smith, Sue, Morbey, Roger, Pebody, Richard G., Hughes, Thomas C., de Lusignan, Simon, Yeates, F. Alex, Thomas, Helen, O’Brien, Sarah J., Smith, Gillian E., Elliot, Alex J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652417/
https://www.ncbi.nlm.nih.gov/pubmed/29048277
http://dx.doi.org/10.3201/eid2311.161632
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author Smith, Sue
Morbey, Roger
Pebody, Richard G.
Hughes, Thomas C.
de Lusignan, Simon
Yeates, F. Alex
Thomas, Helen
O’Brien, Sarah J.
Smith, Gillian E.
Elliot, Alex J.
author_facet Smith, Sue
Morbey, Roger
Pebody, Richard G.
Hughes, Thomas C.
de Lusignan, Simon
Yeates, F. Alex
Thomas, Helen
O’Brien, Sarah J.
Smith, Gillian E.
Elliot, Alex J.
author_sort Smith, Sue
collection PubMed
description 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.
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spelling pubmed-56524172017-11-01 Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15 Smith, Sue Morbey, Roger Pebody, Richard G. Hughes, Thomas C. de Lusignan, Simon Yeates, F. Alex Thomas, Helen O’Brien, Sarah J. Smith, Gillian E. Elliot, Alex J. Emerg Infect Dis Research 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. Centers for Disease Control and Prevention 2017-11 /pmc/articles/PMC5652417/ /pubmed/29048277 http://dx.doi.org/10.3201/eid2311.161632 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Smith, Sue
Morbey, Roger
Pebody, Richard G.
Hughes, Thomas C.
de Lusignan, Simon
Yeates, F. Alex
Thomas, Helen
O’Brien, Sarah J.
Smith, Gillian E.
Elliot, Alex J.
Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15
title Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15
title_full Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15
title_fullStr Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15
title_full_unstemmed Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15
title_short Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15
title_sort retrospective observational study of atypical winter respiratory illness season using real-time syndromic surveillance, england, 2014–15
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652417/
https://www.ncbi.nlm.nih.gov/pubmed/29048277
http://dx.doi.org/10.3201/eid2311.161632
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