Carta Acesso aberto Revisado por pares

Household clustering of SARS-CoV-2 variant of concern B.1.1.7 (VOC-202012–01) in England

2021; Elsevier BV; Volume: 83; Issue: 1 Linguagem: Inglês

10.1016/j.jinf.2021.04.029

ISSN

1532-2742

Autores

Dimple Chudasama, Joe Flannagan, Simon M. Collin, André Charlett, Katherine A. Twohig, Theresa Lamagni, Gavin Dabrera,

Tópico(s)

SARS-CoV-2 and COVID-19 Research

Resumo

Following on from the paper published by Hui et al. on the emergence of a new possibly more transmissible variant in the UK of SARS-CoV-2 variant B1.1.7 (also referred to as VOC-2020–12–01 in the UK and herein referred to as the variant).1Tang J.W. Paul A. Hui Tambyah David S.C. Emergence of a new SARS-CoV-2 variant in the UK.J Infect. 2021; 82: 81-82Google Scholar The variant coincided with a period of accelerated incidence during December 2020, leading to widespread alarm and immediate foreign travel restrictions.2Wise J. Covid-19: new coronavirus variant is identified in UK.BMJ. 2020; 371: m4857https://doi.org/10.1136/bmj.m4857Crossref PubMed Scopus (220) Google Scholar First identified in the South East of England, the variant spread rapidly to other parts of the country, fuelling concerns of increased transmissibility. 3Lauring Adam S. Hodcroft Emma B. Genetic variants of SARS-CoV-2 - what do they mean?.JAMA - J Am Med Assoc. 2021; 2: 2-4https://doi.org/10.1001/jama.2020.27124Crossref Scopus (424) Google Scholar We undertook a comparative analysis of household clustering to provide a rapid assessment of transmissibility of this variant against other sequenced cases. England benefits from a national collaborative sequencing effort known as COVID-19 Genomics UK (COG-UK); as of 8th February 2021, this comprised approximately 7% of confirmed cases, primarily based on samples from community testing. The presence of a sequenced case in a household is not an automated criterion for the selection of other cases' samples for sequencing, therefore providing an important opportunity to independently assess household clustering. All cases from 1 October-15 December 2020 in England with a sequenced positive SARS-CoV-2 test result reported through the COG-UK consortium database were included.4Consortium Genomics UK. COVID-19 genomics UK (COG-UK) consortium. Available at https://www.cogconsortium.uk/news-reports/coverage-reports/. Accessed January 15, 2020, 2020.Google Scholar Property classifications were obtained through address matching against Ordnance Survey reference database, providing a unique property reference number (UPRN) and basic land and property unit (BLPU) class. Household clusters were defined as a sequenced index case followed by one or more laboratory confirmed SARS-CoV-2 cases at the same private dwelling (UPRN) within 14 days. Private dwelling households were sub-divided into type of property such as detached, semi-detached, and terraced houses or self-contained flats using routine surveillance data so that diversity in households could be adjusted for in analysis. We excluded any households which had laboratory confirmed cases in the preceding 90 days (under the assumption that this would independently reduce the number of susceptible persons in a household and potential clustering effects), and households containing mixed sequencing results. To retain as many index cases as possible in the analysis, secondary cases were identified from national laboratory confirmed case data but not necessarily sequenced. The number and proportion of variant (VOC-2020–12–01) and wild-type (non-variant) cases that were clustered within households were calculated. A logistic regression model was used to estimate odd ratios of clustering between the groups as well as age group, sex, Index of multiple Deprivation (IMD), race and ethnicity, region of residence, time period of testing (2-week period) and property type in bivariable and multivariable analyses, carried out in STATA 15.0 (STATA Corp,TX). All statistical tests had a threshold of α = 0.05 (two-sided). From 57,382 sequenced cases, 22,221 (38.8%) were single cases in a household and 15,837 (27.6%) identified as an index cases in a household cluster, Table 1). Crude analysis yielded increased odds of clustering with the variant (OR = 2.13, 95% CI 1.98–2.31) compared to wild-type, reduced to 88% higher odds (OR = 1.88, 95% CI 1.67 to 2.08, p<0.001) when adjusted for IMD, region, time, age, sex and race and ethnicity of the index case (Table 2). All covariates were strongly associated with household clustering, with higher odds of clustering in less deprived households and lower odds where the index case was age 70 years or older. Odds of clustering also increased over the period of the study. Household clustering was more likely in households with an index case of Asian ethnicity and less likely if the index case was of Black ethnicity, compared with index cases of white ethnicity.Table 1Characteristics of VOC-2020–12–01 variant within sporadic and primary case household clusters.Single case in household (N = 22,221)Primary case of household cluster (N = 15,837)Variant WT20,987 (94.5)14,069 (88.8) 202,012_011234 (5.5)1768 (11.2)Ethnicity of index case*Race ethnicity data were missing for 453 (2.0%) and 263 (1.7%) of sporadic and cluster primary case, respectively. Race and ethnicity data were provided by the testing laboratory or obtained from hospital records. Broad race and ethnicity categories are based on Office for National Statistics (ONS) standard categories. Race and ethnicity data were used to obtain an unadjusted estimate, and assess trends. White17,799 (81.8)12,058 (77.4) Asian/Asian British2138 (9.8)2407 (15.5) Black/Black British738 (3.4)367 (2.4) Mixed385 (1.8)250 (1.6) Other708 (3.3)492 (3.2)Public Health England Centre region East Midlands1578 (7.1)528 (6.3) East of England2286 (10.3)939 (11.2) London3678 (16.6)1464 (17.5) North East1647 (7.4)567 (6.8) North West4695 (21.2)1681 (20.1) South East2192 (9.9)927 (11.1) South West720 (3.2)212 (2.5) West Midlands2011 (9.1)774 (9.3) Yorkshire and Humber3392 (15.3)1263 (15.1)Time period†A further 188 (0.9%) single and 633 (4.0%) index cases were counted on 14/12–15/12 and were not included in multivariable analysis adjusted for 2-week time period. 01/10 - 14/104192 (19.0)1823 (12.1) 15/10 - 28/104866 (22.1)2788 (18.3) 29/10 - 11/115775 (25.2)4332 (26.5) 12/11 - 25/114450 (20.2)3876 (25.5) 26/11 - 13/122750 (12.5)2375 (15.6)Age of index case (years)⁎⁎Age data were unavailable for 3 (0.01%) and 6 (0.04%) for sporadic and cluster primary case, respectively. <10530 (2.4)759 (4.8) 10 to 192735 (12.3)1987 (12.6) 20 to 294967 (22.4)2598 (16.4) 30 to 394214 (19.0)2724 (17.2) 40 to 493240 (14.6)2836 (17.9) 50 to 593054 (13.8)2836 (17.9) 60 to 691631 (7.3)1294 (8.2) 70 to 79918 (4.1)547 (3.5) 80+937 (4.2)250 (1.6)Sex of index case^Data on sex were unavailable for 37 (0.2%) and 50 (0.3%) for sporadic and cluster primary cases, respectively. Male10,258 (46.2)7583 (48.0) Female11,926 (53.8)8204 (52.0) Race ethnicity data were missing for 453 (2.0%) and 263 (1.7%) of sporadic and cluster primary case, respectively. Race and ethnicity data were provided by the testing laboratory or obtained from hospital records. Broad race and ethnicity categories are based on Office for National Statistics (ONS) standard categories. Race and ethnicity data were used to obtain an unadjusted estimate, and assess trends.† A further 188 (0.9%) single and 633 (4.0%) index cases were counted on 14/12–15/12 and were not included in multivariable analysis adjusted for 2-week time period. Age data were unavailable for 3 (0.01%) and 6 (0.04%) for sporadic and cluster primary case, respectively.^ Data on sex were unavailable for 37 (0.2%) and 50 (0.3%) for sporadic and cluster primary cases, respectively. Open table in a new tab Table 2Bivariable and multivariable analysis for association of VOC-2020–12–01 variant with household clustering.Bivariable resultsMultivariable results*adjusted for all variables in table.Odds Ratio (95% CI)p-valueAdjusted Odds Ratio (95% CI)p-valueVariant2.13 (1.98–2.31)<0.0011.88 (1.67–2.08)<0.001Per Index of Multiple Deprivation decile1.03 (1.02–1.04)<0.0011.02 (1.01–1.03)<0.001Ethnicity of index caseWhite1.00 (reference)<0.0011.00 (reference)<0.001Asian/Asian British1.62 (1.50–1.76)1.65 (1.52–1.79)Black/Black British0.76 (0.65–0.88)0.85 (0.72–1.00)Mixed0.89 (0.73–1.10)1.00 (0.81–1.24)Other1.01 (0.88–1.17)1.09 (0.94–1.27)Public Health England Centre regionEast Midlands1.00 (reference)<0.0011.00 (reference)<0.001East of England1.12 (1.06–1.36)1.06 (0.93–1.21)London1.18 (1.05–1.33)1.22 (1.08–1.39)North East1.05 (0.92–1.21)1.11 (0.96–1.28)North West1.05 (0.93–1.19)1.09 (0.97–1.23)South East1.21 (1.07–1.37)1.03 (0.90–1.25)South West0.90 (0.75–1.09)1.02 (0.84–1.23)West Midlands1.16 (1.01–1.32)1.06 (0.93–1.21)Yorkshire and Humber1.12 (0.99–1.26)1.09 (0.96–1.23)Time period01/10 - 14/101.00 (reference)<0.0011.00 (reference)<0.00115/10 - 28/101.08 (0.99–1.18)1.05 (0.96–1.15)29/10 - 11/111.47 (1.36–1.59)1.39 (1.28–1.51)12/11 - 25/111.41 (1.29–1.54)1.30 (1.19–1.42)26/11 - 13/121.62 (1.48–1.78)1.32 (1.19–1.43)Property typeDetached1.00 (reference)<0.0011.00 (reference)<0.001Semi-detached0.97 (0.90–1.04)0.95 (0.86–1.03)Terraced0.88 (0.82–0.94)0.85 (0.78–0.92)Flat0.53 (0.48–0.58)0.50 (0.44–0.54)Age of index case (years)<101.00 (reference)<0.0011.00 (reference)<0.00110 to 190.82 (0.69–0.95)0.83 (0.69–0.99)20 to 290.69 (0.58–0.81)0.74 (0.62–0.88)30 to 390.86 (0.73–1.02)0.90 (0.76–1.06)40 to 491.11 (0.94–1.13)1.12 (0.94–1.33)50 to 591.17 (0.98–1.38)1.19 (1.00–1.41)60 to 690.97 (0.81–1.16)0.99 (0.82–1.19)70 to 790.70 (0.57–0.86)0.73 (0.59–0.90)80+0.34 (0.27–0.44)0.37 (0.29–0.47)Sex of index case (male vs. female)1.10 (1.04–1.16)<0.011.09 (1.04–1.15)0.01 adjusted for all variables in table. Open table in a new tab Analysis of national data has shown that VOC-2020–12–01 variant cases were almost twice as likely to give rise to household clusters compared with wild type cases. Household exposures are high risk with passive surveillance demonstrating high attack rates, providing an important indicator of transmissibility as household exposures are unlikely to differ between cases infected with different variants and their contacts. 5Boddington Nicola L., Boddington Nicola L., Charlett Andre, Elgohari Suzanne, Byers Chloe, Coughlan Laura, et al. Epidemiological and clinical characteristics of early COVID-19 cases, United Kingdom of Great Britain and Northern Ireland 2021;(September 2020):1–23.Google Scholar This study benefits from the ability to link a large national sequencing dataset with residential address data during a period of time when both variants were circulating in the population. Limitation include the assumptions that subsequent cases at a residential address were most likely acquired within a household, i.e. no differential intra vs extra-household acquisition by variant type. Secondary attack rates were not estimated because test dates for subsequent cases in a household might reflect family members testing together rather than onset of illness. Data were not available to ascertain whether there were any (non-random) foci of sequencing in geographic areas where the new variant was known to be spreading, but these areas had large populations with both strains in circulation and estimates were adjusted for time and region. Cumulative sequencing coverage in England to week December 13th was 8%. 4Consortium Genomics UK. COVID-19 genomics UK (COG-UK) consortium. Available at https://www.cogconsortium.uk/news-reports/coverage-reports/. Accessed January 15, 2020, 2020.Google Scholar Overall these findings are consistent with modelling which indicated that the variant increased the reproduction number by 73–81% The authors declare no conflicts of interest Funded by Public Health England

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