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Artikel ; Online: Rapid feedback on hospital onset SARS-CoV-2 infections combining epidemiological and sequencing data

Oliver Stirrup / Joseph Hughes / Matthew Parker / David G Partridge / James G Shepherd / James Blackstone / Francesc Coll / Alexander Keeley / Benjamin B Lindsey / Aleksandra Marek / Christine Peters / Joshua B Singer / The COVID-19 Genomics UK (COG-UK) consortium / Asif Tamuri / Thushan I de Silva / Emma C Thomson / Judith Breuer

eLife, Vol

2021 Band 10

Abstract: Background: Rapid identification and investigation of healthcare-associated infections (HCAIs) is important for suppression of SARS-CoV-2, but the infection source for hospital onset COVID-19 infections (HOCIs) cannot always be readily identified based ... ...

Abstract	Background: Rapid identification and investigation of healthcare-associated infections (HCAIs) is important for suppression of SARS-CoV-2, but the infection source for hospital onset COVID-19 infections (HOCIs) cannot always be readily identified based only on epidemiological data. Viral sequencing data provides additional information regarding potential transmission clusters, but the low mutation rate of SARS-CoV-2 can make interpretation using standard phylogenetic methods difficult. Methods: We developed a novel statistical method and sequence reporting tool (SRT) that combines epidemiological and sequence data in order to provide a rapid assessment of the probability of HCAI among HOCI cases (defined as first positive test >48 hr following admission) and to identify infections that could plausibly constitute outbreak events. The method is designed for prospective use, but was validated using retrospective datasets from hospitals in Glasgow and Sheffield collected February–May 2020. Results: We analysed data from 326 HOCIs. Among HOCIs with time from admission ≥8 days, the SRT algorithm identified close sequence matches from the same ward for 160/244 (65.6%) and in the remainder 68/84 (81.0%) had at least one similar sequence elsewhere in the hospital, resulting in high estimated probabilities of within-ward and within-hospital transmission. For HOCIs with time from admission 3–7 days, the SRT probability of healthcare acquisition was >0.5 in 33/82 (40.2%). Conclusions: The methodology developed can provide rapid feedback on HOCIs that could be useful for infection prevention and control teams, and warrants further prospective evaluation. The integration of epidemiological and sequence data is important given the low mutation rate of SARS-CoV-2 and its variable incubation period. Funding: COG-UK HOCI funded by COG-UK consortium, supported by funding from UK Research and Innovation, National Institute of Health Research and Wellcome Sanger Institute.
Schlagwörter	COVID-19 ; healthcare associated ; nosocomial ; SARS-CoV-2 ; whole genome sequencing ; outbreak ; Medicine ; R ; Science ; Q ; Biology (General) ; QH301-705.5
Thema/Rubrik (Code)	360
Sprache	Englisch
Erscheinungsdatum	2021-06-01T00:00:00Z
Verlag	eLife Sciences Publications Ltd
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: Characterising within-hospitalSARS-CoV-2 transmission events using epidemiological and viral genomic data across two pandemic waves

Benjamin B. Lindsey / Ch. Julián Villabona-Arenas / Finlay Campbell / Alexander J. Keeley / Matthew D. Parker / Dhruv R. Shah / Helena Parsons / Peijun Zhang / Nishchay Kakkar / Marta Gallis / Benjamin H. Foulkes / Paige Wolverson / Stavroula F. Louka / Stella Christou / Amy State / Katie Johnson / Mohammad Raza / Sharon Hsu / Thibaut Jombart /

Anne Cori / Sheffield COVID-19 Genomics Group / The COVID-19 Genomics UK (COG-UK) consortium / CMMID COVID-19 working group / Cariad M. Evans / David G. Partridge / Katherine E. Atkins / Stéphane Hué / Thushan I. de Silva

Nature Communications, Vol 13, Iss 1, Pp 1-

2022 Band 11

Abstract: SARS-CoV-2 has resulted in multiple outbreaks in hospitals, but identifying transmission events is challenging. Here, the authors combine whole genome sequencing and epidemiological data from the first two waves of the pandemic at a UK hospital trust and ...

Abstract	SARS-CoV-2 has resulted in multiple outbreaks in hospitals, but identifying transmission events is challenging. Here, the authors combine whole genome sequencing and epidemiological data from the first two waves of the pandemic at a UK hospital trust and characterise transmission chains.
Schlagwörter	Science ; Q
Sprache	Englisch
Erscheinungsdatum	2022-02-01T00:00:00Z
Verlag	Nature Portfolio
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: Risk factors for SARS-CoV-2 seroprevalence following the first pandemic wave in UK healthcare workers in a large NHS Foundation Trust [version 2; peer review

Wellcome Open Research, Vol

2 approved]

2022 Band 6

Abstract: Background: We aimed to measure SARS-CoV-2 seroprevalence in a cohort of healthcare workers (HCWs) during the first UK wave of the COVID-19 pandemic, explore risk factors associated with infection, and investigate the impact of antibody titres on assay ... ...

Abstract	Background: We aimed to measure SARS-CoV-2 seroprevalence in a cohort of healthcare workers (HCWs) during the first UK wave of the COVID-19 pandemic, explore risk factors associated with infection, and investigate the impact of antibody titres on assay sensitivity. Methods: HCWs at Sheffield Teaching Hospitals NHS Foundation Trust were prospectively enrolled and sampled at two time points. We developed an in-house ELISA for testing participant serum for SARS-CoV-2 IgG and IgA reactivity against Spike and Nucleoprotein. Data were analysed using three statistical models: a seroprevalence model, an antibody kinetics model, and a heterogeneous sensitivity model. Results: Our in-house assay had a sensitivity of 99·47% and specificity of 99·56%. We found that 24·4% (n=311/1275) of HCWs were seropositive as of 12th June 2020. Of these, 39·2% (n=122/311) were asymptomatic. The highest adjusted seroprevalence was measured in HCWs on the Acute Medical Unit (41·1%, 95% CrI 30·0–52·9) and in Physiotherapists and Occupational Therapists (39·2%, 95% CrI 24·4–56·5). Older age groups showed overall higher median antibody titres. Further modelling suggests that, for a serological assay with an overall sensitivity of 80%, antibody titres may be markedly affected by differences in age, with sensitivity estimates of 89% in those over 60 years but 61% in those ≤30 years. Conclusions: HCWs in acute medical units and those working closely with COVID-19 patients were at highest risk of infection, though whether these are infections acquired from patients or other staff is unknown. Current serological assays may underestimate seroprevalence in younger age groups if validated using sera from older and/or more severe COVID-19 cases.
Schlagwörter	Seroprevalence ; antibody ; Healthcare Worker ; SARS-CoV-2 ; COVID ; modelling ; age ; risk ; eng ; Medicine ; R ; Science ; Q
Thema/Rubrik (Code)	610
Sprache	Englisch
Erscheinungsdatum	2022-03-01T00:00:00Z
Verlag	Wellcome
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: Publisher Correction

Nature Communications, Vol 13, Iss 1, Pp 1-

Characterising within-hospital SARS-CoV-2 transmission events using epidemiological and viral genomic data across two pandemic waves

2022 Band 1

Schlagwörter	Science ; Q
Sprache	Englisch
Erscheinungsdatum	2022-02-01T00:00:00Z
Verlag	Nature Portfolio
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: Risk factors for SARS-CoV-2 seroprevalence following the first pandemic wave in UK healthcare workers in a large NHS Foundation Trust [version 3; peer review

Wellcome Open Research, Vol

2 approved]

2022 Band 6

Abstract	Background: We aimed to measure SARS-CoV-2 seroprevalence in a cohort of healthcare workers (HCWs) during the first UK wave of the COVID-19 pandemic, explore risk factors associated with infection, and investigate the impact of antibody titres on assay sensitivity. Methods: HCWs at Sheffield Teaching Hospitals NHS Foundation Trust were prospectively enrolled and sampled at two time points. We developed an in-house ELISA for testing participant serum for SARS-CoV-2 IgG and IgA reactivity against Spike and Nucleoprotein. Data were analysed using three statistical models: a seroprevalence model, an antibody kinetics model, and a heterogeneous sensitivity model. Results: Our in-house assay had a sensitivity of 99·47% and specificity of 99·56%. We found that 24·4% (n=311/1275) of HCWs were seropositive as of 12th June 2020. Of these, 39·2% (n=122/311) were asymptomatic. The highest adjusted seroprevalence was measured in HCWs on the Acute Medical Unit (41·1%, 95% CrI 30·0–52·9) and in Physiotherapists and Occupational Therapists (39·2%, 95% CrI 24·4–56·5). Older age groups showed overall higher median antibody titres. Further modelling suggests that, for a serological assay with an overall sensitivity of 80%, antibody titres may be markedly affected by differences in age, with sensitivity estimates of 89% in those over 60 years but 61% in those ≤30 years. Conclusions: HCWs in acute medical units and those working closely with COVID-19 patients were at highest risk of infection, though whether these are infections acquired from patients or other staff is unknown. Current serological assays may underestimate seroprevalence in younger age groups if validated using sera from older and/or more severe COVID-19 cases.
Schlagwörter	Seroprevalence ; antibody ; Healthcare Worker ; SARS-CoV-2 ; COVID ; modelling ; age ; risk ; eng ; Medicine ; R ; Science ; Q
Thema/Rubrik (Code)	610
Sprache	Englisch
Erscheinungsdatum	2022-06-01T00:00:00Z
Verlag	Wellcome
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: The effect of live attenuated influenza vaccine on pneumococcal colonisation densities among children aged 24–59 months in The Gambia

Chikondi Peno, MSc / Edwin P Armitage, BMBS / Melanie Clerc, PhD / Carlos Balcazar Lopez, PhD / Ya Jankey Jagne, MSc / Sainabou Drammeh, BSc / Sheikh Jarju, DVM / Hadijatou Sallah, BSc / Elina Senghore, BSc / Benjamin B Lindsey, MBBS / Janko Camara, PGM / Sulayman Bah, DMS / Nuredin I Mohammed, PhD / David H Dockrell, ProfMD / Beate Kampmann, ProfPhD / Ed Clarke, PhD / Debby Bogaert, ProfPhD / Thushan I de Silva, PhD

The Lancet Microbe, Vol 2, Iss 12, Pp e656-e

a phase 4, open label, randomised, controlled trial

2021 Band 665

Abstract: Summary: Background: Influenza and other respiratory viruses promote Streptococcus pneumoniae proliferation in the upper respiratory tract. We sought to investigate for what we believe is the first time, the effect of intranasal live attenuated influenza ...

Abstract	Summary: Background: Influenza and other respiratory viruses promote Streptococcus pneumoniae proliferation in the upper respiratory tract. We sought to investigate for what we believe is the first time, the effect of intranasal live attenuated influenza vaccine (LAIV) on nasopharyngeal S pneumoniae density in a low-income to middle-income country population with high pneumococcal carriage rates. Methods: In an open-label, randomised, controlled trial in The Gambia, 330 healthy children aged 24–59 months were randomly assigned 2:1 to receive one trivalent LAIV dose at enrolment (day 0, intervention) or at the end of active follow-up (day 21, control). The investigator team were initially masked to block size and randomisation sequence to avoid allocation bias. Group allocation was later revealed to the investigator team. The primary outcome was PCR-quantified day 7 and 21 pneumococcal density. Asymptomatic respiratory viral infection at baseline and LAIV strain shedding were included as covariates in generalised mixed-effects models, to assess the effect of LAIV and other variables on pneumococcal densities. The study is registered at ClinicalTrials.gov, NCT02972957, and is closed to recruitment. Findings: Between Feb 8 and April 12, 2017, and Jan 15 and March 28, 2018, of 343 children assessed for eligibility, 213 in the intervention group and 108 in the control group completed the study and were included in the final analysis. Although no significant differences were seen in pneumococcal carriage or density at each timepoint when comparing groups, changes from baseline were observed in the LAIV group. The baseline S pneumoniae carriage prevalence was high in both LAIV and control groups (75%) and increased by day 21 in the LAIV group (85%, p=0·0037), but not in the control group (79%, p=0·44). An increase in pneumococcal density from day 0 amounts was seen in the LAIV group at day 7 (+0·207 log10 copies per μL, SE 0·105, p=0·050) and day 21 (+0·280 log10 copies per μL, SE 0·105, p=0·0082), but not in the control group. Older age was associated with lower pneumococcal density (−0·015 log10 copies per μL, SE 0·005, p=0·0030), with the presence of asymptomatic respiratory viruses at baseline (+0·259 log10 copies per μL, SE 0·097, p=0·017), and greater LAIV shedding at day 7 (+0·380 log10 copies per μL, SE 0·167, p=0·024) associated with higher pneumococcal density. A significant increase in rhinorrhoea was reported in the LAIV group compared with the control group children during the first 7 days of the study (103 [48%] of 213, compared with 25 [23%] of 108, p<0·0001), and between day 7 and 21 (108 [51%] of 213, compared with 28 [26%] of 108, p<0·0001). Interpretation: LAIV was associated with a modest increase in nasopharyngeal pneumococcal carriage and density in the 21 days following vaccination, with the increase in density lower in magnitude than previously described in the UK. This increase was accelerated when LAIV was administered in the presence of pre-existing asymptomatic respiratory viruses, suggesting that nasopharyngeal S pneumoniae proliferation is driven by cumulative mixed-viral co-infections. The effect of LAIV on pneumococcal density is probably similar to other respiratory viral infections in children. Our findings provide reassurance for the use of LAIV to expand influenza vaccine programmes in low-income to middle-income country populations with high pneumococcal carriage. Funding: Wellcome Trust.
Schlagwörter	Medicine (General) ; R5-920 ; Microbiology ; QR1-502
Thema/Rubrik (Code)	630
Sprache	Englisch
Erscheinungsdatum	2021-12-01T00:00:00Z
Verlag	Elsevier
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: The impact of viral mutations on recognition by SARS-CoV-2 specific T cells

Thushan I. de Silva / Guihai Liu / Benjamin B. Lindsey / Danning Dong / Shona C. Moore / Nienyun Sharon Hsu / Dhruv Shah / Dannielle Wellington / Alexander J. Mentzer / Adrienn Angyal / Rebecca Brown / Matthew D. Parker / Zixi Ying / Xuan Yao / Lance Turtle / Susanna Dunachie / Mala K. Maini / Graham Ogg / Julian C. Knight /

Yanchun Peng / Sarah L. Rowland-Jones / Tao Dong / David M. Aanensen / Khalil Abudahab / Helen Adams / Alexander Adams / Safiah Afifi / Dinesh Aggarwal / Shazaad S.Y. Ahmad / Louise Aigrain / Adela Alcolea-Medina / Nabil-Fareed Alikhan / Elias Allara / Roberto Amato / Tara Annett / Stephen Aplin / Cristina V. Ariani / Hibo Asad / Amy Ash / Paula Ashfield / Fiona Ashford / Laura Atkinson / Stephen W. Attwood / Cressida Auckland / Alp Aydin / David J. Baker / Paul Baker / Carlos E. Balcazar / Jonathan Ball / Jeffrey C. Barrett

iScience, Vol 24, Iss 11, Pp 103353- (2021)

2021

Abstract: Summary: We identify amino acid variants within dominant SARS-CoV-2 T cell epitopes by interrogating global sequence data. Several variants within nucleocapsid and ORF3a epitopes have arisen independently in multiple lineages and result in loss of ... ...

Abstract	Summary: We identify amino acid variants within dominant SARS-CoV-2 T cell epitopes by interrogating global sequence data. Several variants within nucleocapsid and ORF3a epitopes have arisen independently in multiple lineages and result in loss of recognition by epitope-specific T cells assessed by IFN-γ and cytotoxic killing assays. Complete loss of T cell responsiveness was seen due to Q213K in the A∗01:01-restricted CD8+ ORF3a epitope FTSDYYQLY207-215; due to P13L, P13S, and P13T in the B∗27:05-restricted CD8+ nucleocapsid epitope QRNAPRITF9-17; and due to T362I and P365S in the A∗03:01/A∗11:01-restricted CD8+ nucleocapsid epitope KTFPPTEPK361-369. CD8+ T cell lines unable to recognize variant epitopes have diverse T cell receptor repertoires. These data demonstrate the potential for T cell evasion and highlight the need for ongoing surveillance for variants capable of escaping T cell as well as humoral immunity.
Schlagwörter	Phylogenetics ; Molecular biology ; Immunology ; Immune response ; Virology ; Science ; Q
Thema/Rubrik (Code)	570
Sprache	Englisch
Erscheinungsdatum	2021-11-01T00:00:00Z
Verlag	Elsevier
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel ; Online: Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7

Mark S Graham, PhD / Carole H Sudre, PhD / Anna May, MA / Michela Antonelli, PhD / Benjamin Murray, MSc / Thomas Varsavsky, MSc / Kerstin Kläser, MSc / Liane S Canas, PhD / Erika Molteni, PhD / Marc Modat, PhD / David A Drew, PhD / Long H Nguyen, MD / Lorenzo Polidori, MSc / Somesh Selvachandran, MSc / Christina Hu, MA / Joan Capdevila, PhD / Alexander Hammers, ProfPhD / Andrew T Chan, ProfMD / Jonathan Wolf, MA /

Tim D Spector, ProfPhD / Claire J Steves, PhD / Sebastien Ourselin, ProfPhD / Cherian Koshy / Amy Ash / Emma Wise / Nathan Moore / Matilde Mori / Nick Cortes / Jessica Lynch / Stephen Kidd / Derek J Fairley / Tanya Curran / James P McKenna / Helen Adams / Christophe Fraser / Tanya Golubchik / David Bonsall / Mohammed O Hassan-Ibrahim / Cassandra S Malone / Benjamin J Cogger / Michelle Wantoch / Nicola Reynolds / Ben Warne / Joshua Maksimovic / Karla Spellman / Kathryn McCluggage / Michaela John / Robert Beer / Safiah Afifi / Sian Morgan / Angela Marchbank / Anna Price / Christine Kitchen / Huw Gulliver / Ian Merrick / Joel Southgate / Martyn Guest / Robert Munn / Trudy Workman / Thomas R Connor / William Fuller / Catherine Bresner / Luke B Snell / Amita Patel / Themoula Charalampous / Gaia Nebbia / Rahul Batra / Jonathan Edgeworth / Samuel C Robson / Angela H Beckett / David M Aanensen / Anthony P Underwood / Corin A Yeats / Khalil Abudahab / Ben EW Taylor / Mirko Menegazzo / Gemma Clark / Wendy Smith / Manjinder Khakh / Vicki M Fleming / Michelle M Lister / Hannah C Howson-Wells / Louise Berry / Tim Boswell / Amelia Joseph / Iona Willingham / Carl Jones / Christopher Holmes / Paul Bird / Thomas Helmer / Karlie Fallon / Julian Tang / Veena Raviprakash / Sharon Campbell / Nicola Sheriff / Victoria Blakey / Lesley-Anne Williams / Matthew W Loose / Nadine Holmes / Christopher Moore / Matthew Carlile / Victoria Wright / Fei Sang / Johnny Debebe / Francesc Coll / Adrian W Signell / Gilberto Betancor / Harry D Wilson / Sahar Eldirdiri / Anita Kenyon / Thomas Davis / Oliver G Pybus / Louis du Plessis / Alex E Zarebski / Jayna Raghwani / Moritz UG Kraemer / Sarah Francois / Stephen W Attwood / Tetyana I Vasylyeva / Marina Escalera Zamudio / Bernardo Gutierrez / M. Estee Torok / William L Hamilton / Ian G Goodfellow / Grant Hall / Aminu S Jahun / Yasmin Chaudhry / Myra Hosmillo / Malte L Pinckert / Iliana Georgana / Samuel Moses / Hannah Lowe / Luke Bedford / Jonathan Moore / Susanne Stonehouse / Chloe L Fisher / Ali R Awan / John BoYes / Judith Breuer / Kathryn Ann Harris / Julianne Rose Brown / Divya Shah / Laura Atkinson / Jack CD Lee / Nathaniel Storey / Flavia Flaviani / Adela Alcolea-Medina / Rebecca Williams / Gabrielle Vernet / Michael R Chapman / Lisa J Levett / Judith Heaney / Wendy Chatterton / Monika Pusok / Li Xu-McCrae / Darren L Smith / Matthew Bashton / Gregory R Young / Alison Holmes / Paul Anthony Randell / Alison Cox / Pinglawathee Madona / Frances Bolt / James Price / Siddharth Mookerjee / Manon Ragonnet-Cronin / Fabricia F. Nascimento / David Jorgensen / Igor Siveroni / Rob Johnson / Olivia Boyd / Lily Geidelberg / Erik M Volz / Aileen Rowan / Graham P Taylor / Katherine L Smollett / Nicholas J Loman / Joshua Quick / Claire McMurray / Joanne Stockton / Sam Nicholls / Will Rowe / Radoslaw Poplawski / Alan McNally / Rocio T Martinez Nunez / Jenifer Mason / Trevor I Robinson / Elaine O'Toole / Joanne Watts / Cassie Breen / Angela Cowell / Graciela Sluga / Nicholas W Machin / Shazaad S Y Ahmad / Ryan P George / Fenella Halstead / Venkat Sivaprakasam / Wendy Hogsden / Chris J Illingworth / Chris Jackson / Emma C Thomson / James G Shepherd / Patawee Asamaphan / Marc O Niebel / Kathy K Li / Rajiv N Shah / Natasha G Jesudason / Lily Tong / Alice Broos / Daniel Mair / Jenna Nichols / Stephen N Carmichael / Kyriaki Nomikou / Elihu Aranday-Cortes / Natasha Johnson / Igor Starinskij / Ana da Silva Filipe / David L Robertson / Richard J Orton / Joseph Hughes / Sreenu Vattipally / Joshua B Singer / Seema Nickbakhsh / Antony D Hale / Louissa R Macfarlane-Smith / Katherine L Harper / Holli Carden / Yusri Taha / Brendan AI Payne / Shirelle Burton-Fanning / Sheila Waugh / Jennifer Collins / Gary Eltringham / Steven Rushton / Sarah O'Brien / Amanda Bradley / Alasdair Maclean / Guy Mollett / Rachel Blacow / Kate E Templeton / Martin P McHugh / Rebecca Dewar / Elizabeth Wastenge / Samir Dervisevic / Rachael Stanley / Emma J Meader / Lindsay Coupland / Louise Smith / Clive Graham / Edward Barton / Debra Padgett / Garren Scott / Emma Swindells / Jane Greenaway / Andrew Nelson / Clare M McCann / Wen C Yew / Monique Andersson / Timothy Peto / Anita Justice / David Eyre / Derrick Crook / Tim J Sloan / Nichola Duckworth / Sarah Walsh / Anoop J Chauhan / Sharon Glaysher / Kelly Bicknell / Sarah Wyllie / Scott Elliott / Allyson Lloyd / Robert Impey / Nick Levene / Lynn Monaghan / Declan T Bradley / Tim Wyatt / Elias Allara / Clare Pearson / Husam Osman / Andrew Bosworth / Esther Robinson / Peter Muir / Ian B Vipond / Richard Hopes / Hannah M Pymont / Stephanie Hutchings / Martin D Curran / Surendra Parmar / Angie Lackenby / Tamyo Mbisa / Steven Platt / Shahjahan Miah / David Bibby / Carmen Manso / Jonathan Hubb / Meera Chand / Gavin Dabrera / Mary Ramsay / Daniel Bradshaw / Alicia Thornton / Richard Myers / Ulf Schaefer / Natalie Groves / Eileen Gallagher / David Lee / David Williams / Nicholas Ellaby / Ian Harrison / Hassan Hartman / Nikos Manesis / Vineet Patel / Chloe Bishop / Vicki Chalker / Juan Ledesma / Katherine A Twohig / Matthew T.G. Holden / Sharif Shaaban / Alec Birchley / Alexander Adams / Alisha Davies / Amy Gaskin / Amy Plimmer / Bree Gatica-Wilcox / Caoimhe McKerr / Catherine Moore / Chris Williams / David Heyburn / Elen De Lacy / Ember Hilvers / Fatima Downing / Giri Shankar / Hannah Jones / Hibo Asad / Jason Coombes / Joanne Watkins / Johnathan M Evans / Laia Fina / Laura Gifford / Lauren Gilbert / Lee Graham / Malorie Perry / Mari Morgan / Matthew Bull / Michelle Cronin / Nicole Pacchiarini / Noel Craine / Rachel Jones / Robin Howe / Sally Corden / Sara Rey / Sara Kumziene-SummerhaYes / Sarah Taylor / Simon Cottrell / Sophie Jones / Sue Edwards / Justin O'Grady / Andrew J Page / Alison E Mather / David J Baker / Steven Rudder / Alp Aydin / Gemma L Kay / Alexander J Trotter / Nabil-Fareed Alikhan / Leonardo de Oliveira Martins / Thanh Le-Viet / Lizzie Meadows / Anna Casey / Liz Ratcliffe / David A Simpson / Zoltan Molnar / Thomas Thompson / Erwan Acheson / Jane AH Masoli / Bridget A Knight / Sian Ellard / Cressida Auckland / Christopher R Jones / Tabitha W Mahungu / Dianne Irish-Tavares / Tanzina Haque / Jennifer Hart / Eric Witele / Melisa Louise Fenton / Ashok Dadrah / Amanda Symmonds / Tranprit Saluja / Yann Bourgeois / Garry P Scarlett / Katie F Loveson / Salman Goudarzi / Christopher Fearn / Kate Cook / Hannah Dent / Hannah Paul / David G Partridge / Mohammad Raza / Cariad Evans / Kate Johnson / Steven Liggett / Paul Baker / Stephen Bonner / Sarah Essex / Ronan A Lyons / Kordo Saeed / Adhyana I.K Mahanama / Buddhini Samaraweera / Siona Silveira / Emanuela Pelosi / Eleri Wilson-Davies / Rachel J Williams / Mark Kristiansen / Sunando Roy / Charlotte A Williams / Marius Cotic / Nadua Bayzid / Adam P Westhorpe / John A Hartley / Riaz Jannoo / Helen L Lowe / Angeliki Karamani / Leah Ensell / Jacqui A Prieto / Sarah Jeremiah / Dimitris Grammatopoulos / Sarojini Pandey / Lisa Berry / Katie Jones / Alex Richter / Andrew Beggs / Angus Best / Benita Percival / Jeremy Mirza / Oliver Megram / Megan Mayhew / Liam Crawford / Fiona Ashcroft / Emma Moles-Garcia / Nicola Cumley / Colin P Smith / Giselda Bucca / Andrew R Hesketh / Beth Blane / Sophia T Girgis / Danielle Leek / Sushmita Sridhar / Sally Forrest / Claire Cormie / Harmeet K Gill / Joana Dias / Ellen E Higginson / Mailis Maes / Jamie Young / Leanne M Kermack / Ravi Kumar Gupta / Catherine Ludden / Sharon J Peacock / Sophie Palmer / Carol M Churcher / Nazreen F Hadjirin / Alessandro M Carabelli / Ellena Brooks / Kim S Smith / Katerina Galai / Georgina M McManus / Chris Ruis / Rose K Davidson / Andrew Rambaut / Thomas Williams / Carlos E Balcazar / Michael D Gallagher / Áine O'Toole / Stefan Rooke / Verity Hill / Kathleen A Williamson / Thomas D Stanton / Stephen L Michell / Claire M Bewshea / Ben Temperton / Michelle L Michelsen / Joanna Warwick-Dugdale / Robin Manley / Audrey Farbos / James W Harrison / Christine M Sambles / David J Studholme / Aaron R Jeffries / Alistair C Darby / Julian A Hiscox / Steve Paterson / Miren Iturriza-Gomara / Kathryn A Jackson / Anita O Lucaci / Edith E Vamos / Margaret Hughes / Lucille Rainbow / Richard Eccles / Charlotte Nelson / Mark Whitehead / Lance Turtle / Sam T Haldenby / Richard Gregory / Matthew Gemmell / Claudia Wierzbicki / Hermione J Webster / Thushan I de Silva / Nikki Smith / Adrienn Angyal / Benjamin B Lindsey / Danielle C Groves / Luke R Green / Dennis Wang / Timothy M Freeman / Matthew D Parker / Alexander J Keeley / Paul J Parsons / Rachel M Tucker / Rebecca Brown / Matthew Wyles / Max Whiteley / Peijun Zhang / Marta Gallis / Stavroula F Louka / Chrystala Constantinidou / Meera Unnikrishnan / Sascha Ott / Jeffrey K.J. Cheng / Hannah E. Bridgewater / Lucy R. Frost / Grace Taylor-Joyce / Richard Stark / Laura Baxter / Mohammad T. Alam / Paul E Brown / Dinesh Aggarwal / Alberto C Cerda / Tammy V Merrill / Rebekah E Wilson / Patrick C McClure / Joseph G Chappell / Theocharis Tsoleridis / Jonathan Ball / David Buck / John A Todd / Angie Green / Amy Trebes / George MacIntyre-Cockett / Mariateresa de Cesare / Alex Alderton / Roberto Amato / Cristina V Ariani / Mathew A Beale / Charlotte Beaver / Katherine L Bellis / Emma Betteridge / James Bonfield / John Danesh / Matthew J Dorman / Eleanor Drury / Ben W Farr / Luke Foulser / Sonia Goncalves / Scott Goodwin / Marina Gourtovaia / Ewan M Harrison / David K Jackson / Dorota Jamrozy / Ian Johnston / Leanne Kane / Sally Kay / Jon-Paul Keatley / Dominic Kwiatkowski / Cordelia F Langford / Mara Lawniczak / Laura Letchford / Rich Livett / Stephanie Lo / Inigo Martincorena / Samantha McGuigan / Rachel Nelson / Steve Palmer / Naomi R Park / Minal Patel / Liam Prestwood / Christoph Puethe / Michael A Quail / Shavanthi Rajatileka / Carol Scott / Lesley Shirley / John Sillitoe / Michael H Spencer Chapman / Scott AJ Thurston / Gerry Tonkin-Hill / Danni Weldon / Diana Rajan / Iraad F Bronner / Louise Aigrain / Nicholas M Redshaw / Stefanie V Lensing / Robert Davies / Andrew Whitwham / Jennifier Liddle / Kevin Lewis / Jaime M Tovar-Corona / Steven Leonard / Jillian Durham / Andrew R Bassett / Shane McCarthy / Robin J Moll / Keith James / Karen Oliver / Alex Makunin / Jeff Barrett / Rory N Gunson

The Lancet Public Health, Vol 6, Iss 5, Pp e335-e

an ecological study

2021 Band 345

Abstract: Summary: 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 ... ...

Abstract	Summary: 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 reported symptoms or disease duration associated with B.1.1.7. For the same period, possible reinfections were identified in 249 (0·7% [95% CI 0·6–0·8]) of 36 509 app users who reported a positive swab test before Oct 1, 2020, but there was no evidence that the frequency of reinfections was higher for the B.1.1.7 variant than for pre-existing variants. Reinfection occurrences were more positively correlated with the overall regional rise in cases (Spearman correlation 0·56–0·69 for South East, London, and East of England) than with the regional increase in the proportion of infections with the B.1.1.7 variant (Spearman correlation 0·38–0·56 in the same regions), suggesting B.1.1.7 does not substantially alter the risk of reinfection. We found a multiplicative increase in the Rt of B.1.1.7 by a factor of 1·35 (95% CI 1·02–1·69) relative to pre-existing variants. However, Rt fell below 1 during regional and national lockdowns, even in regions with high proportions of infections with the B.1.1.7 variant. Interpretation: The lack of change in symptoms identified in this study indicates that existing testing and surveillance infrastructure do not need to change specifically for the B.1.1.7 variant. In addition, given that there was no apparent increase in the reinfection rate, vaccines are likely to remain effective against the B.1.1.7 variant. Funding: Zoe Global, Department of Health (UK), Wellcome Trust, Engineering and Physical Sciences Research Council (UK), National Institute for Health Research (UK), Medical Research Council (UK), Alzheimer's Society.
Schlagwörter	Public aspects of medicine ; RA1-1270
Thema/Rubrik (Code)	150
Sprache	Englisch
Erscheinungsdatum	2021-05-01T00:00:00Z
Verlag	Elsevier
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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