Imperial College London

Professor Neil Ferguson

Faculty of MedicineSchool of Public Health

Director of the School of Public Health
 
 
 
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Contact

 

+44 (0)20 7594 3296neil.ferguson Website

 
 
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Location

 

508School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@techreport{Ferguson:2021:10.25561/93035,
author = {Ferguson, N and Ghani, A and Hinsley, W and Volz, E and on, behalf of the Imperial College COVID-19 Response Team},
doi = {10.25561/93035},
title = {Report 50: Hospitalisation risk for Omicron cases in England},
url = {http://dx.doi.org/10.25561/93035},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - RPRT
AB - To assess differences in the risk of hospitalisation between the Omicron variant of concern (1) and the Delta variant, we analysed data from all PCR-confirmed SARS-CoV-2 cases in England with last test specimen dates between 1st and 14th December inclusive. Variant was defined using a combination of S-gene Target Failure (SGTF) and genetic data. Case data were linked by National Health service (NHS) number to the National Immunisation Management System (NIMS) database, the NHS Emergency Care (ECDS) and Secondary Use Services (SUS) hospital episode datasets. Hospital attendance was defined as any record of attendance at a hospital by a case in the 14 days following their last positive PCR test, up to and including the day of attendance. A secondary analysis examined the subset of attendances with a length of stay of one or more days. We used stratified conditional Poisson regression to predict hospitalisation status, with demographic strata defined by age, sex, ethnicity, region, specimen date, index of multiple deprivation and in some analyses, vaccination status. Predictor variables were variant (Omicron or Delta), reinfection status and vaccination status. Overall, we find evidence of a reduction in the risk of hospitalisation for Omicron relative to Delta infections, averaging over all cases in the study period. The extent of reduction is sensitive to the inclusion criteria used for cases and hospitalisation, being in the range 20-25% when using any attendance at hospital as the endpoint, and 40-45% when using hospitalisation lasting 1 day or longer or hospitalisations with the ECDS discharge field recorded as “admitted” as the endpoint (Table 1). These reductions must be balanced against the larger risk of infection with Omicron, due to the reduction in protection provided by both vaccination and natural infection. A previous infection reduces the
AU - Ferguson,N
AU - Ghani,A
AU - Hinsley,W
AU - Volz,E
AU - on,behalf of the Imperial College COVID-19 Response Team
DO - 10.25561/93035
PY - 2021///
TI - Report 50: Hospitalisation risk for Omicron cases in England
UR - http://dx.doi.org/10.25561/93035
UR - https://www.imperial.ac.uk/media/imperial-college/medicine/mrc-gida/2021-12-22-COVID19-Report-50.pdf
UR - http://hdl.handle.net/10044/1/93035
ER -