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. 2022 Jun 9;4(7):e542–e557. doi: 10.1016/S2589-7500(22)00091-7

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© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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UpSet plots of individuals with one or more COVID-19 event phenotypes across seven datasets

Vertical bars report unique individuals in the intersection denoted by the intersection matrix below. Empty intersections are not shown. Horizontal bars report unique individuals identified from each dataset. Datasets were the SGSS (COVID-19 testing), GDPPR (primary care), HES-APC, HES-CC, SUS, CHESS, and the ONS Civil Registration of Deaths. CHESS=COVID-19 Hospitalisations in England Surveillance System. GDPPR=General Practice Extraction Service Extract for Pandemic Planning and Research. HES-APC=Hospital Episode Statistics for admitted patient care. HES-CC=Hospital Episode Statistics for adult critical care. ONS=Office of National Statistics. SGSS=Second Generation Surveillance System. SUS=Secondary Uses Service.