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@article{Graham:2021:10.1016/S2468-2667(21)00055-4,
author = {Graham, MS and Sudre, CH and May, A and Antonelli, M and Murray, B and Varsavsky, T and Kläser, K and Canas, LS and Molteni, E and Modat, M and Drew, DA and Nguyen, LH and Polidori, L and Selvachandran, S and Hu, C and Capdevila, J and COVID-19, Genomics UK COG-UK Consortium and Hammers, A and Chan, AT and Wolf, J and Spector, TD and Steves, CJ and Ourselin, S},
doi = {10.1016/S2468-2667(21)00055-4},
journal = {The Lancet Public Health},
pages = {e335--e345},
title = {Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study},
url = {http://dx.doi.org/10.1016/S2468-2667(21)00055-4},
volume = {6},
year = {2021}
}

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TY  - JOUR
AB  - BACKGROUND: The SARS-CoV-2 variant B.1.1.7 was first identified in December, 2020, in England. We aimed to investigate whether increases in the proportion of infections with this variant are associated with differences in symptoms or disease course, reinfection rates, or transmissibility. METHODS: We did an ecological study to examine the association between the regional proportion of infections with the SARS-CoV-2 B.1.1.7 variant and reported symptoms, disease course, rates of reinfection, and transmissibility. Data on types and duration of symptoms were obtained from longitudinal reports from users of the COVID Symptom Study app who reported a positive test for COVID-19 between Sept 28 and Dec 27, 2020 (during which the prevalence of B.1.1.7 increased most notably in parts of the UK). From this dataset, we also estimated the frequency of possible reinfection, defined as the presence of two reported positive tests separated by more than 90 days with a period of reporting no symptoms for more than 7 days before the second positive test. The proportion of SARS-CoV-2 infections with the B.1.1.7 variant across the UK was estimated with use of genomic data from the COVID-19 Genomics UK Consortium and data from Public Health England on spike-gene target failure (a non-specific indicator of the B.1.1.7 variant) in community cases in England. We used linear regression to examine the association between reported symptoms and proportion of B.1.1.7. We assessed the Spearman correlation between the proportion of B.1.1.7 cases and number of reinfections over time, and between the number of positive tests and reinfections. We estimated incidence for B.1.1.7 and previous variants, and compared the effective reproduction number, Rt, for the two incidence estimates. FINDINGS: From Sept 28 to Dec 27, 2020, positive COVID-19 tests were reported by 36 920 COVID Symptom Study app users whose region was known and who reported as healthy on app sign-up. We found no changes in repo
AU  - Graham,MS
AU  - Sudre,CH
AU  - May,A
AU  - Antonelli,M
AU  - Murray,B
AU  - Varsavsky,T
AU  - Kläser,K
AU  - Canas,LS
AU  - Molteni,E
AU  - Modat,M
AU  - Drew,DA
AU  - Nguyen,LH
AU  - Polidori,L
AU  - Selvachandran,S
AU  - Hu,C
AU  - Capdevila,J
AU  - COVID-19,Genomics UK COG-UK Consortium
AU  - Hammers,A
AU  - Chan,AT
AU  - Wolf,J
AU  - Spector,TD
AU  - Steves,CJ
AU  - Ourselin,S
DO  - 10.1016/S2468-2667(21)00055-4
EP  - 345
PY  - 2021///
SN  - 2468-2667
SP  - 335
TI  - Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study
T2  - The Lancet Public Health
UR  - http://dx.doi.org/10.1016/S2468-2667(21)00055-4
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33857453
UR  - http://hdl.handle.net/10044/1/90445
VL  - 6
ER  -

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Professor Graham P Taylor

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