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Modelling estimates of the burden of Respiratory Syncytial virus infection in adults and the elderly in the United Kingdom

Overview of attention for article published in BMC Infectious Diseases, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
7 X users
patent
1 patent

Citations

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142 Dimensions

Readers on

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204 Mendeley
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Title
Modelling estimates of the burden of Respiratory Syncytial virus infection in adults and the elderly in the United Kingdom
Published in
BMC Infectious Diseases, October 2015
DOI 10.1186/s12879-015-1218-z
Pubmed ID
Authors

Douglas M. Fleming, Robert J. Taylor, Roger L. Lustig, Cynthia Schuck-Paim, François Haguinet, David J Webb, John Logie, Gonçalo Matias, Sylvia Taylor

Abstract

Growing evidence suggests respiratory syncytial virus (RSV) is an important cause of respiratory disease in adults. However, the adult burden remains largely uncharacterized as most RSV studies focus on children, and population-based studies with laboratory-confirmation of infection are difficult to implement. Indirect modelling methods, long used for influenza, can further our understanding of RSV burden by circumventing some limitations of traditional surveillance studies that rely on direct linkage of individual-level exposure and outcome data. Multiple linear time-series regression was used to estimate RSV burden in the United Kingdom (UK) between 1995 and 2009 among the total population and adults in terms of general practice (GP) episodes (counted as first consultation ≥28 days following any previous consultation for same diagnosis/diagnostic group), hospitalisations, and deaths for respiratory disease, using data from Public Health England weekly influenza/RSV surveillance, Clinical Practice Research Datalink, Hospital Episode Statistics, and Office of National Statistics. The main outcome considered all ICD-listed respiratory diseases and, for GP episodes, related symptoms. Estimates were adjusted for non-specific seasonal drivers of disease using secular cyclical terms and stratified by age and risk group (according to chronic conditions indicating severe influenza risk as per UK recommendations for influenza vaccination). Trial registration NCT01706302 . Registered 11 October 2012. Among adults aged 18+ years an estimated 487,247 GP episodes, 17,799 hospitalisations, and 8,482 deaths were attributable to RSV per average season. Of these, 175,070 GP episodes (36 %), 14,039 hospitalisations (79 %) and 7,915 deaths (93 %) were in persons aged 65+ years. High- versus low-risk elderly were two-fold more likely to have a RSV-related GP episode or death and four-fold more likely be hospitalised for RSV. In most seasons since 2001, more GP episodes, hospitalisations and deaths were attributable to RSV in adults than to influenza. RSV is associated with a substantial disease burden in adults comparable to influenza, with most of the hospitalisation and mortality burden in the elderly. Treatment options and measures to prevent RSV could have a major impact on the burden of RSV respiratory disease in adults, especially the elderly.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 204 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 17%
Researcher 34 17%
Student > Master 25 12%
Student > Bachelor 16 8%
Other 10 5%
Other 24 12%
Unknown 60 29%
Readers by discipline Count As %
Medicine and Dentistry 63 31%
Immunology and Microbiology 13 6%
Agricultural and Biological Sciences 12 6%
Biochemistry, Genetics and Molecular Biology 12 6%
Pharmacology, Toxicology and Pharmaceutical Science 9 4%
Other 20 10%
Unknown 75 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2023.
All research outputs
#1,857,360
of 25,450,869 outputs
Outputs from BMC Infectious Diseases
#490
of 8,620 outputs
Outputs of similar age
#26,482
of 295,015 outputs
Outputs of similar age from BMC Infectious Diseases
#7
of 164 outputs
Altmetric has tracked 25,450,869 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,620 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 295,015 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.