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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2017
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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. |
format | Online Article Text |
id | pubmed-5652417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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