1833 105 8852 3 41945 document 8852 Prevalence_estimates.zip application/zip 4b0bca2d1238a8d25fcb702a53fff63b3739d9e853d8e617b5a8490143b51a9d SHA256 3094166 2020-08-24 11:52:48 https://datacompass.lshtm.ac.uk/id/eprint/1833/1/Prevalence_estimates.zip 1833 1 1 application/zip Dataset en public cc_by_nc
Prevalence_estimates.zip
data indefinite Zip file - prevalence estimates for COVID-19 risk factors (by age and region, 2014 and 2019 archive 183 disk0/00/00/18/33 2020-08-24 11:55:46 2025-12-10 16:36:14 2020-08-24 11:55:46 data_collection show Walker Jemma 0000-0003-3728-9509 TRUE 8052425098ccf177ff1581c4ce5ca3a5 Grint Daniel 0000-0001-8001-6544 TRUE e653fe78f9b7c161ef6e11ad4f3a1e6f Strongman Helen 0000-0001-8739-4601 TRUE d91d1354b383ca6ca47be631c8d964b1 Eggo Rosalind M. 0000-0002-0362-6717 TRUE e0ff5a039c078e9e199e28138679e7e8 Peppa Maria 0000-0002-4181-0638 TRUE f65926fef1b73a9b05bc46fef6edc706 Minassian Caroline 0000-0001-9406-1928 TRUE 350d774898425eefd52a1eace80e5ea5 Mansfield Kathryn E. 0000-0002-2551-410X TRUE ead609811de0a0b3997912107b96fd8a Rentsch Christopher 0000-0002-1408-7907 TRUE 6b0ae3c8f91ce7c37e981d8f7422d148 Douglas Ian J. 0000-0002-8970-1406 TRUE 4ae98f57c7dcb7808109afcc2ad40eac Mathur Rohini 0000-0002-3817-8790 TRUE c643bd836d83651510e09ced827c9495 Wong Angel 0000-0002-8618-7333 TRUE 0e471eb73d730de7e5e74b9807bc280f Quint Jennifer K. 0000-0003-0149-4869 TRUE d381a7b204ea3f72cb5a9618fa938d75 Andrews Nick TRUE d1564904c5a0a9610c3dbd61072a64a1 Lopez-bernal James 0000-0002-1301-5653 TRUE 8e2040cbd8f37379ed8bcfa1fdd4833e Scott Anthony 0000-0001-7533-5006 TRUE ce8c943720300236c01309058b08cc96 Ramsay Mary 0000-0002-7156-7640 TRUE 728a0d8ffab06834b7ef3bc2dff661ad Smeeth Liam 0000-0002-9168-6022 TRUE b77507afb7742dd51f5b8bd6bc2dc017 McDonald Helen 0000-0003-0576-2015 TRUE d9b2da00178d110f981ef223e797e9ea London School of Hygiene & Tropical Medicine, London, United Kingdom UK prevalence of risk factors for severe COVID-19 disease, by age and region: point prevalence estimates in 2019 and 2014, using electronic health records EPAA Prevalence Electronic health records COVID-19 Risk factors United Kingdom Coronavirus This study is based in part on data from the Clinical Practice Research Datalink obtained under licence from the UK Medicines and Healthcare products Regulatory Agency. The data is provided by patients and collected by the NHS as part of their care and support. The interpretation and conclusions contained in this study are those of the author/s alone. This dataset presents prevalence estimates for the population at higher risk of severe COVID-19 and each underlying health condition, for each of the four nations in the United Kingdom. Conditions are those included in June 2020 UK guidance (https://web.archive.org/web/20200716054208/https://www.nhs.uk/conditions/coronavirus-covid-19/people-at-higher-risk/whos-at-higher-risk-from-coronavirus/), and, separately survivors of cancer. Estimates are presented as prevalence /100,000 population with 95% confidence intervals, stratified by age and region (separately and in combination) on each of 5 March 2019 and 5 March 2014. The point prevalence of pregnancy is additionally provided for 5 March 2014, stratified by age and region. Main estimates are based on primary care records for 2.7 million eligible individuals in 2019 and 4.7 million in 2014, from the Clinical Practice Research Datalink https://www.cprd.com/ For England, prevalence estimates supplemented with secondary care record data are also provided for 2014 and 2019, stratified by age and region. Please note the 2019 estimates do not include any individuals from the North East or East Midlands regions of England. Estimates for 2014 cover all regions across England. Values smaller than five are suppressed for confidentiality. Approval was received from the Independent Scientific Advisory Committee of the Medicines and Healthcare Products Regulatory Agency (ISAC number: 20_062A) and the Ethics Committee of the London School of Hygiene and Tropical Medicine (reference number: 21851). 2020-08-17 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00001833 Dataset London School of Hygiene and Tropical Medicine, London, United Kingdom Clinical Practice Research Datalink National Institute for Health Research (NIHR) XEHR Aggregation 41 KFD C.AQ EK-EO E-EZ public London, United Kingdom National Institute for Health Research (NIHR) Health Data Research UK Medical Research Council Dataset Quantitative Analysis of electronic health records from the Clinical Practice Research Datalink https://www.cprd.com/ en 2014-03-05 2019-03-05 National Institute for Health Research (NIHR) http://dx.doi.org/10.13039/501100000272 Health Data Research UK MR/S003975/1 https://www.hdruk.ac.uk/ Medical Research Council MC_PC 19065 http://dx.doi.org/10.13039/501100000265 NIHR Health Protection Research Unit in Immunisation 2020-08-17