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UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records

Overview of attention for article published in BMC Public Health, March 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
5 news outlets
twitter
255 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
183 Mendeley
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Title
UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records
Published in
BMC Public Health, March 2021
DOI 10.1186/s12889-021-10427-2
Pubmed ID
Authors

Jemma L. Walker, Daniel J. Grint, Helen Strongman, Rosalind M. Eggo, Maria Peppa, Caroline Minassian, Kathryn E. Mansfield, Christopher T. Rentsch, Ian J. Douglas, Rohini Mathur, Angel Y. S. Wong, Jennifer K. Quint, Nick Andrews, Jamie Lopez Bernal, J. Anthony Scott, Mary Ramsay, Liam Smeeth, Helen I. McDonald

Abstract

Characterising the size and distribution of the population at risk of severe COVID-19 is vital for effective policy and planning. Older age, and underlying health conditions, are associated with higher risk of death from COVID-19. This study aimed to describe the population at risk of severe COVID-19 due to underlying health conditions across the United Kingdom. We used anonymised electronic health records from the Clinical Practice Research Datalink GOLD to estimate the point prevalence on 5 March 2019 of the at-risk population following national guidance. Prevalence for any risk condition and for each individual condition is given overall and stratified by age and region with binomial exact confidence intervals. We repeated the analysis on 5 March 2014 for full regional representation and to describe prevalence of underlying health conditions in pregnancy. We additionally described the population of cancer survivors, and assessed the value of linked secondary care records for ascertaining COVID-19 at-risk status. On 5 March 2019, 24.4% of the UK population were at risk due to a record of at least one underlying health condition, including 8.3% of school-aged children, 19.6% of working-aged adults, and 66.2% of individuals aged 70 years or more. 7.1% of the population had multimorbidity. The size of the at-risk population was stable over time comparing 2014 to 2019, despite increases in chronic liver disease and diabetes and decreases in chronic kidney disease and current asthma. Separately, 1.6% of the population had a new diagnosis of cancer in the past 5 y. The population at risk of severe COVID-19 (defined as either aged ≥70 years, or younger with an underlying health condition) comprises 18.5 million individuals in the UK, including a considerable proportion of school-aged and working-aged individuals. Our national estimates broadly support the use of Global Burden of Disease modelled estimates in other countries. We provide age- and region- stratified prevalence for each condition to support effective modelling of public health interventions and planning of vaccine resource allocation. The high prevalence of health conditions among older age groups suggests that age-targeted vaccination strategies may efficiently target individuals at higher risk of severe COVID-19.

X Demographics

X Demographics

The data shown below were collected from the profiles of 255 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 183 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 15%
Student > Master 20 11%
Other 10 5%
Researcher 10 5%
Student > Postgraduate 8 4%
Other 28 15%
Unknown 80 44%
Readers by discipline Count As %
Medicine and Dentistry 48 26%
Nursing and Health Professions 10 5%
Unspecified 7 4%
Social Sciences 5 3%
Psychology 5 3%
Other 24 13%
Unknown 84 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 218. 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 October 2023.
All research outputs
#180,602
of 25,756,531 outputs
Outputs from BMC Public Health
#161
of 17,816 outputs
Outputs of similar age
#5,523
of 455,499 outputs
Outputs of similar age from BMC Public Health
#5
of 412 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,816 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 99% 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 455,499 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 98% of its contemporaries.
We're also able to compare this research output to 412 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 98% of its contemporaries.