The University of Southampton
University of Southampton Institutional Repository

The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020

The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020
The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020
Background: SARS-CoV-2 is known to transmit in hospital settings, but the contribution of infections acquired in hospitals to the epidemic at a national scale is unknown.

Methods: we used comprehensive national English datasets to determine the number of COVID-19 patients with identified hospital-acquired infections (with symptom onset > 7 days after admission and before discharge) in acute English hospitals up to August 2020. As patients may leave the hospital prior to detection of infection or have rapid symptom onset, we combined measures of the length of stay and the incubation period distribution to estimate how many hospital-acquired infections may have been missed. We used simulations to estimate the total number (identified and unidentified) of symptomatic hospital-acquired infections, as well as infections due to onward community transmission from missed hospital-acquired infections, to 31st July 2020.

Results: in our dataset of hospitalised COVID-19 patients in acute English hospitals with a recorded symptom onset date (n = 65,028), 7% were classified as hospital-acquired. We estimated that only 30% (range across weeks and 200 simulations: 20–41%) of symptomatic hospital-acquired infections would be identified, with up to 15% (mean, 95% range over 200 simulations: 14.1–15.8%) of cases currently classified as community-acquired COVID-19 potentially linked to hospital transmission. We estimated that 26,600 (25,900 to 27,700) individuals acquired a symptomatic SARS-CoV-2 infection in an acute Trust in England before 31st July 2020, resulting in 15,900 (15,200–16,400) or 20.1% (19.2–20.7%) of all identified hospitalised COVID-19 cases.

Conclusions: transmission of SARS-CoV-2 to hospitalised patients likely caused approximately a fifth of identified cases of hospitalised COVID-19 in the “first wave” in England, but less than 1% of all infections in England. Using time to symptom onset from admission for inpatients as a detection method likely misses a substantial proportion (> 60%) of hospital-acquired infections.
1471-2334
Knight, Gwenan M.
264364d8-dd24-497c-af7e-bc046901f744
Pham, Thi Mui
187eb64a-c94b-4480-b5c9-8fd147309156
Stimson, James
c7f8a83a-f8bf-482a-b35a-ad3a40764a7a
Funk, Sebastian
99328474-b245-47ab-8bc1-d2854032a577
Jafari, Yalda
54e9870d-ba49-49ce-a9b7-0d0e19708f14
Pople, Diane
67880ddf-95d3-4042-9c3f-4814084231b4
Evans, Stephanie
6d3614fa-2979-41d0-94cf-36bc61cdc99c
Yin, Mo
e9bedea3-8568-42eb-8265-2b5f36c9a8a1
Brown, Colin S.
34326b9f-46b2-414c-af64-07186393c75b
Bhattacharya, Alex
edb143dd-055d-4ebf-94b5-809a83247b51
Hope, Russell
84160e74-707e-4a70-aefa-9b2fbc0e8ea3
Semple, Malcolm G.
fecaba10-49be-49eb-a92c-f523d714d5f9
Abbott, Sam
e8d25152-b481-40b4-b429-82c93d21c26e
Gimma, Amy
642070ad-36eb-41e6-8cd8-8c1bd7397afc
Gibbs, Hamish P.
a7c68116-c71c-4df2-87c3-2f209f1f203e
Abbas, Kaja
43cf5abc-77b4-4aea-809d-b9b4f0e48b17
Barnard, Rosanna C.
e2d26b50-3e89-4970-917b-86be72ab922e
Sandmann, Frank G.
26136dce-a8e7-434e-86a6-79f810bd8302
Bosse, Nikos I.
3eee16f4-087b-45ee-92c7-b7edcc7db1f3
Mee, Paul
6bd96e3d-8560-4c55-9f32-5326c32c16e6
McCarthy, Ciara V.
6c1cab5b-e570-401c-9ede-869384d5f4e4
Quaife, Matthew
f6139761-9d82-4a81-b2ef-e750977ab8f4
Kucharski, Adam J.
19975425-144e-4e68-9bcd-25e50cc7ad31
Jarvis, Christopher I.
c8c1f5a6-e077-4d0e-b79f-d12e21bac3c0
Hellewell, Joel
e2203422-4e86-4de4-8768-55e969275030
Finch, Emilie
178db10b-0dca-43f8-bc47-1b0156adf9ab
Rosello, Alicia
18be3a96-acab-4888-900f-ef3865226340
Jit, Mark
c99d1e17-a445-4ac7-8b56-ba179ebf5190
Pung, Rachael
ce2d32be-f67b-412c-bf9b-1b275472b2a4
Eggo, Rosalind M.
150c61b4-762d-4356-9924-1cdb75126db6
Endo, Akira
24b58000-1eff-4fa8-a64a-b3cd9a727314
Medley, Graham
6cb3010d-7d2b-4bc9-b8c1-b4d9ce031372
Tully, Damien C.
cc5209a8-e0fb-41e4-99eb-e0c6baca69e3
Wong, Kerry L.M.
84ba7d11-429f-4b16-9f0c-8ed790514316
Liu, Yang
b238db04-491a-4b5d-92de-48e6946ac337
Sherratt, Katharine
bf00a77d-7057-4fe2-95c5-e9d928557eda
Munday, James D.
22237870-bca7-4090-9ee2-dad4986b7c79
Chapman, Lloyd A.C.
4c7ad8dd-ae52-4c1e-bb49-f1f49b6e460d
Hué, Stéphane
49f3897a-9fba-4693-a216-09307eaa718f
O’Reilly, Kathleen
2d2eab27-8ae0-44dc-a284-f2b7f6858b02
Davies, Nicholas G.
25184305-5278-41d4-9654-8da0ca1cf51d
Meakin, Sophie R.
a9a0d844-d609-461a-ad1b-be906ae338e3
Sun, Fiona Yueqian
155d0f1b-452c-416c-83b2-11f9b72d25b3
Brady, Oliver
2acbd374-26d3-4e56-9e19-558eef1d4f9b
Villabona-Arenas, C. Julian
7f9bf4ba-045d-4c8e-928e-ad8f5670b069
Atkins, Katherine E.
e396359b-6346-44fc-be90-41824d4050ea
Hodgson, David
54f0f588-c4a4-49b4-950d-6cf32ec36a4d
Waites, William
a069e5ff-f440-4b89-ae81-3b58c2ae2afd
Read, Jonathan M.
9d512cc1-9696-4d01-9656-e56d42a65b32
Cooper, Ben S.
96ada2f2-aacb-4db0-b788-13ad846624c3
Robotham, Julie V.
53bd167d-a135-430e-b7b5-941727942c2b
ISARIC4C Investigators
CMMID COVID-19 Working Group
Knight, Gwenan M.
264364d8-dd24-497c-af7e-bc046901f744
Pham, Thi Mui
187eb64a-c94b-4480-b5c9-8fd147309156
Stimson, James
c7f8a83a-f8bf-482a-b35a-ad3a40764a7a
Funk, Sebastian
99328474-b245-47ab-8bc1-d2854032a577
Jafari, Yalda
54e9870d-ba49-49ce-a9b7-0d0e19708f14
Pople, Diane
67880ddf-95d3-4042-9c3f-4814084231b4
Evans, Stephanie
6d3614fa-2979-41d0-94cf-36bc61cdc99c
Yin, Mo
e9bedea3-8568-42eb-8265-2b5f36c9a8a1
Brown, Colin S.
34326b9f-46b2-414c-af64-07186393c75b
Bhattacharya, Alex
edb143dd-055d-4ebf-94b5-809a83247b51
Hope, Russell
84160e74-707e-4a70-aefa-9b2fbc0e8ea3
Semple, Malcolm G.
fecaba10-49be-49eb-a92c-f523d714d5f9
Abbott, Sam
e8d25152-b481-40b4-b429-82c93d21c26e
Gimma, Amy
642070ad-36eb-41e6-8cd8-8c1bd7397afc
Gibbs, Hamish P.
a7c68116-c71c-4df2-87c3-2f209f1f203e
Abbas, Kaja
43cf5abc-77b4-4aea-809d-b9b4f0e48b17
Barnard, Rosanna C.
e2d26b50-3e89-4970-917b-86be72ab922e
Sandmann, Frank G.
26136dce-a8e7-434e-86a6-79f810bd8302
Bosse, Nikos I.
3eee16f4-087b-45ee-92c7-b7edcc7db1f3
Mee, Paul
6bd96e3d-8560-4c55-9f32-5326c32c16e6
McCarthy, Ciara V.
6c1cab5b-e570-401c-9ede-869384d5f4e4
Quaife, Matthew
f6139761-9d82-4a81-b2ef-e750977ab8f4
Kucharski, Adam J.
19975425-144e-4e68-9bcd-25e50cc7ad31
Jarvis, Christopher I.
c8c1f5a6-e077-4d0e-b79f-d12e21bac3c0
Hellewell, Joel
e2203422-4e86-4de4-8768-55e969275030
Finch, Emilie
178db10b-0dca-43f8-bc47-1b0156adf9ab
Rosello, Alicia
18be3a96-acab-4888-900f-ef3865226340
Jit, Mark
c99d1e17-a445-4ac7-8b56-ba179ebf5190
Pung, Rachael
ce2d32be-f67b-412c-bf9b-1b275472b2a4
Eggo, Rosalind M.
150c61b4-762d-4356-9924-1cdb75126db6
Endo, Akira
24b58000-1eff-4fa8-a64a-b3cd9a727314
Medley, Graham
6cb3010d-7d2b-4bc9-b8c1-b4d9ce031372
Tully, Damien C.
cc5209a8-e0fb-41e4-99eb-e0c6baca69e3
Wong, Kerry L.M.
84ba7d11-429f-4b16-9f0c-8ed790514316
Liu, Yang
b238db04-491a-4b5d-92de-48e6946ac337
Sherratt, Katharine
bf00a77d-7057-4fe2-95c5-e9d928557eda
Munday, James D.
22237870-bca7-4090-9ee2-dad4986b7c79
Chapman, Lloyd A.C.
4c7ad8dd-ae52-4c1e-bb49-f1f49b6e460d
Hué, Stéphane
49f3897a-9fba-4693-a216-09307eaa718f
O’Reilly, Kathleen
2d2eab27-8ae0-44dc-a284-f2b7f6858b02
Davies, Nicholas G.
25184305-5278-41d4-9654-8da0ca1cf51d
Meakin, Sophie R.
a9a0d844-d609-461a-ad1b-be906ae338e3
Sun, Fiona Yueqian
155d0f1b-452c-416c-83b2-11f9b72d25b3
Brady, Oliver
2acbd374-26d3-4e56-9e19-558eef1d4f9b
Villabona-Arenas, C. Julian
7f9bf4ba-045d-4c8e-928e-ad8f5670b069
Atkins, Katherine E.
e396359b-6346-44fc-be90-41824d4050ea
Hodgson, David
54f0f588-c4a4-49b4-950d-6cf32ec36a4d
Waites, William
a069e5ff-f440-4b89-ae81-3b58c2ae2afd
Read, Jonathan M.
9d512cc1-9696-4d01-9656-e56d42a65b32
Cooper, Ben S.
96ada2f2-aacb-4db0-b788-13ad846624c3
Robotham, Julie V.
53bd167d-a135-430e-b7b5-941727942c2b

Knight, Gwenan M., Pham, Thi Mui, Stimson, James, Funk, Sebastian, Jafari, Yalda, Pople, Diane, Evans, Stephanie, Yin, Mo, Brown, Colin S., Bhattacharya, Alex, Hope, Russell, Semple, Malcolm G., Read, Jonathan M., Cooper, Ben S. and Robotham, Julie V. , ISARIC4C Investigators and CMMID COVID-19 Working Group (2022) The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020. BMC Infectious Diseases, 22, [556]. (doi:10.1186/s12879-022-07490-4).

Record type: Article

Abstract

Background: SARS-CoV-2 is known to transmit in hospital settings, but the contribution of infections acquired in hospitals to the epidemic at a national scale is unknown.

Methods: we used comprehensive national English datasets to determine the number of COVID-19 patients with identified hospital-acquired infections (with symptom onset > 7 days after admission and before discharge) in acute English hospitals up to August 2020. As patients may leave the hospital prior to detection of infection or have rapid symptom onset, we combined measures of the length of stay and the incubation period distribution to estimate how many hospital-acquired infections may have been missed. We used simulations to estimate the total number (identified and unidentified) of symptomatic hospital-acquired infections, as well as infections due to onward community transmission from missed hospital-acquired infections, to 31st July 2020.

Results: in our dataset of hospitalised COVID-19 patients in acute English hospitals with a recorded symptom onset date (n = 65,028), 7% were classified as hospital-acquired. We estimated that only 30% (range across weeks and 200 simulations: 20–41%) of symptomatic hospital-acquired infections would be identified, with up to 15% (mean, 95% range over 200 simulations: 14.1–15.8%) of cases currently classified as community-acquired COVID-19 potentially linked to hospital transmission. We estimated that 26,600 (25,900 to 27,700) individuals acquired a symptomatic SARS-CoV-2 infection in an acute Trust in England before 31st July 2020, resulting in 15,900 (15,200–16,400) or 20.1% (19.2–20.7%) of all identified hospitalised COVID-19 cases.

Conclusions: transmission of SARS-CoV-2 to hospitalised patients likely caused approximately a fifth of identified cases of hospitalised COVID-19 in the “first wave” in England, but less than 1% of all infections in England. Using time to symptom onset from admission for inpatients as a detection method likely misses a substantial proportion (> 60%) of hospital-acquired infections.

Text
s12879-022-07490-4 - Version of Record
Available under License Creative Commons Attribution.
Download (3MB)

More information

Accepted/In Press date: 25 May 2022
Published date: 18 June 2022

Identifiers

Local EPrints ID: 500147
URI: http://eprints.soton.ac.uk/id/eprint/500147
ISSN: 1471-2334
PURE UUID: d98a41b2-47f0-4a9e-b6ed-82e7228a7923
ORCID for William Waites: ORCID iD orcid.org/0000-0002-7759-6805

Catalogue record

Date deposited: 22 Apr 2025 16:30
Last modified: 22 Aug 2025 02:43

Export record

Altmetrics

Contributors

Author: Gwenan M. Knight
Author: Thi Mui Pham
Author: James Stimson
Author: Sebastian Funk
Author: Yalda Jafari
Author: Diane Pople
Author: Stephanie Evans
Author: Mo Yin
Author: Colin S. Brown
Author: Alex Bhattacharya
Author: Russell Hope
Author: Malcolm G. Semple
Author: Sam Abbott
Author: Amy Gimma
Author: Hamish P. Gibbs
Author: Kaja Abbas
Author: Rosanna C. Barnard
Author: Frank G. Sandmann
Author: Nikos I. Bosse
Author: Paul Mee
Author: Ciara V. McCarthy
Author: Matthew Quaife
Author: Adam J. Kucharski
Author: Christopher I. Jarvis
Author: Joel Hellewell
Author: Emilie Finch
Author: Alicia Rosello
Author: Mark Jit
Author: Rachael Pung
Author: Rosalind M. Eggo
Author: Akira Endo
Author: Graham Medley
Author: Damien C. Tully
Author: Kerry L.M. Wong
Author: Yang Liu
Author: Katharine Sherratt
Author: James D. Munday
Author: Lloyd A.C. Chapman
Author: Stéphane Hué
Author: Kathleen O’Reilly
Author: Nicholas G. Davies
Author: Sophie R. Meakin
Author: Fiona Yueqian Sun
Author: Oliver Brady
Author: C. Julian Villabona-Arenas
Author: Katherine E. Atkins
Author: David Hodgson
Author: William Waites ORCID iD
Author: Jonathan M. Read
Author: Ben S. Cooper
Author: Julie V. Robotham
Corporate Author: ISARIC4C Investigators
Corporate Author: CMMID COVID-19 Working Group

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×