TY - JOUR
T1 - Characterising within-hospitalSARS-CoV-2 transmission events using epidemiological and viral genomic data across two pandemic waves
AU - Sheffield COVID-19 Genomics Group
AU - COVID-19 Genomics UK (COG-UK) consortium
AU - CMMID COVID-19 Working Group
AU - Lindsey, Benjamin B.
AU - Villabona-Arenas, Ch. Julián
AU - Campbell, Finlay
AU - Keeley, Alexander J.
AU - Parker, Matthew D.
AU - Shah, Dhruv R.
AU - Parsons, Helena
AU - Zhang, Peijun
AU - Kakkar, Nishchay
AU - Gallis, Marta
AU - Foulkes, Benjamin H.
AU - Wolverson, Paige
AU - Louka, Stavroula F.
AU - Christou, Stella
AU - State, Amy
AU - Johnson, Katie
AU - Raza, Mohammad
AU - Hsu, Sharon
AU - Jombart, Thibaut
AU - Cori, Anne
AU - Evans, Cariad M.
AU - Partridge, David G.
AU - Atkins, Katherine E.
AU - Hué, Stéphane
AU - de Silva, Thushan I.
N1 - Publisher Copyright:
© 2022. The Author(s).
PY - 2022/2/3
Y1 - 2022/2/3
N2 - Hospital outbreaks of COVID19 result in considerable mortality and disruption to healthcare services and yet little is known about transmission within this setting. We characterise within hospital transmission by combining viral genomic and epidemiological data using Bayesian modelling amongst 2181 patients and healthcare workers from a large UK NHS Trust. Transmission events were compared between Wave 1 (1st March to 25th J'uly 2020) and Wave 2 (30th November 2020 to 24th January 2021). We show that staff-to-staff transmissions reduced from 31.6% to 12.9% of all infections. Patient-to-patient transmissions increased from 27.1% to 52.1%. 40%-50% of hospital-onset patient cases resulted in onward transmission compared to 4% of community-acquired cases. Control measures introduced during the pandemic likely reduced transmissions between healthcare workers but were insufficient to prevent increasing numbers of patient-to-patient transmissions. As hospital-acquired cases drive most onward transmission, earlier identification of nosocomial cases will be required to break hospital transmission chains.
AB - Hospital outbreaks of COVID19 result in considerable mortality and disruption to healthcare services and yet little is known about transmission within this setting. We characterise within hospital transmission by combining viral genomic and epidemiological data using Bayesian modelling amongst 2181 patients and healthcare workers from a large UK NHS Trust. Transmission events were compared between Wave 1 (1st March to 25th J'uly 2020) and Wave 2 (30th November 2020 to 24th January 2021). We show that staff-to-staff transmissions reduced from 31.6% to 12.9% of all infections. Patient-to-patient transmissions increased from 27.1% to 52.1%. 40%-50% of hospital-onset patient cases resulted in onward transmission compared to 4% of community-acquired cases. Control measures introduced during the pandemic likely reduced transmissions between healthcare workers but were insufficient to prevent increasing numbers of patient-to-patient transmissions. As hospital-acquired cases drive most onward transmission, earlier identification of nosocomial cases will be required to break hospital transmission chains.
UR - http://www.scopus.com/inward/record.url?scp=85123972658&partnerID=8YFLogxK
U2 - 10.1038/s41467-022-28291-y
DO - 10.1038/s41467-022-28291-y
M3 - Article
C2 - 35115517
SN - 2041-1723
VL - 13
SP - 1
EP - 11
JO - Nature Communications
JF - Nature Communications
M1 - 671
ER -