TY - JOUR
AU - Li, Kathy K.
AU - Woo, Y. Mun
AU - Stirrup, Oliver
AU - Hughes, Joseph
AU - Ho, Antonia
AU - da Silva Filipe, Ana
AU - Johnson, Natasha
AU - Smollett, Katherine
AU - Mair, Daniel
AU - Carmichael, Stephen
AU - Tong, Lily
AU - Nichols, Jenna
AU - Aranday-Cortes, Elihu
AU - Brunker, Kirstyn
AU - Parr, Yasmin A.
AU - Nomikou, Kyriaki
AU - McDonald, Sarah E.
AU - Niebel, Marc O.
AU - Asamaphan, Patawee
AU - Sreenu, Vattipally B.
AU - Robertson, David L.
AU - Taggart, Aislynn
AU - Jesudason, Natasha
AU - Shah, Rajiv
AU - Shepherd, James
AU - Singer, Josh
AU - Taylor, Alison H.M.
AU - Cousland, Zoe
AU - Price, Jonathan
AU - Lees, Jennifer S.
AU - Jones, Timothy P.W.
AU - Lopez, Carlos Varon
AU - MacLean, Alasdair
AU - Starinskij, Igor
AU - Gunson, Rory N.
AU - Morris, Scott T.M.
AU - Thomson, Peter
AU - Geddes, Colin
AU - Traynor, Jamie
AU - Breuer, Judith
AU - Thomson, Emma C.
AU - Mark, Patrick B.
PY - 2021
DA - April
TI - Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - a high risk community-hospital interface
JO - Journal of Infection
EP - 103
VL - 83
IS - 1
DO - http://dx.doi.org/10.1016/j.jinf.2021.04.020
AB - Objectives: Patients requiring haemodialysis are at increased risk of serious illness with SARS-CoV-2 infection. To improve the understanding of transmission risks in six Scottish renal dialysis units, we utilised the rapid whole-genome sequencing data generated by the COG-UK consortium. Methods: We combined geographical, temporal and genomic sequence data from the community and hospital to estimate the probability of infection originating from within the dialysis unit, the hospital or the community using Bayesian statistical modelling and compared these results to the details of epidemiological investigations. Results: Of 671 patients, 60 (8.9%) became infected with SARS-CoV-2, of whom 16 (27%) died. Within-unit and community transmission were both evident and an instance of transmission from the wider hospital setting was also demonstrated. Conclusions: Near-real-time SARS-CoV-2 sequencing data can facilitate tailored infection prevention and control measures, which can be targeted at reducing risk in these settings.
PB - Elsevier
UR - http://eprints.gla.ac.uk/239372/
KW - Coronavirus (COVID-19)
KW - Hospital care
ER