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Record W3180807731 · doi:10.1093/cid/ciab608

An Observational Cohort Study on the Incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection and B.1.1.7 Variant Infection in Healthcare Workers by Antibody and Vaccination Status

2021· article· en· W3180807731 on OpenAlexfundno aff
Sheila Lumley, Gillian Rodger, Bede Constantinides, Nicholas Sanderson, Kevin Chau, Teresa Street, Denise O’Donnell, Alison Howarth, Stephanie B. Hatch, Brian D. Marsden, Stuart Cox, Tim James, Fiona C Warren, Liam J Peck, Thomas Ritter, Zoe de Toledo, Laura Warren, David Axten, Richard J. Cornall, E. Yvonne Jones, David I. Stuart, Gavin Screaton, Daniel Ebner, Sarah Hoosdally, Meera Chand, Derrick W. Crook, Christopher P. Conlon, Koen B. Pouwels, A. Sarah Walker, Susan Hopkins, A Sarah Walker, Nicole Stoesser, Philippa C. Matthews, Katie Jeffery, David W. Eyre, Afrah Shibu, Aisling Curtis, Alexandra Mighiu, Ali Manji, Andrey Nezhentsev, Arun Somanathan, Beinn Khulusi, Ben Holloway, Caitlin Rigler, Charis Virgo, Charlotte Lee, Elizabeth R. Daly, Elizabeth Hatton, Esme Weeks, Euan J McGivern, G Economides, Hannah E. Fuchs, Harry Jackson-Smith, Heather Tong, Helen Callard, Helen Clay, Henrietta Davies, Isaac Jarratt Barnham, Ishta Sharma, Jack Wilson, Jocelyn Ward, Joseph Cutteridge, Julia Kotowska, Kirsten Lee, Krupa Ravi, Laura Wilkins, Lottie Cansdale, Lucy Bland, Luiza Farache Trajano, M Chmura, Maria Lucey, Maria Pikoula, Meirian Evans, Molly Abbott, Morwenna Tamblyn, Oriane Grant, Rebecca Conway-Jones, Ross Toward, Roxanna E. Abhari, Ruby Wolman, Sara Hosseinzadeh, Sarah Thomas, Tara Madsen, Thomas Foord, Thomas Johnson, Vimukthi Perera, Zamin Shabir, Thomas Christott, George Doherty, Philip W. Fowler, Fredrik Karpe, James Kavanagh, Lucas Martins Ferreira, Matt J. Neville, Hayleah Pickford, Donal Skelly, Jeremy Swann, Sarah Cameron, Phoebe Tamblin-Hopper, Magda Wolna, Denis Volk, Fan Yang-Turner, Alison Vaughan, Adrian Bialek, Alison Whitty, Annie Westlake, Barbara Woźniak, Cláudio Ferreira, Danielle Russell, Dawn Pether, Elaine Lawson, Eleanor Ross, Eleni Fragkouli, Elizabeth Sims, Emma Mortimore, Geraldine A. Shaw, Harriet Mullins, Harriett Caroll, Jane Phillips, Jenny Brown, Jess Ponting, Justyna Szczurkowska, Kim Vilca, Kitty Norris, Louise Holland, Michael Luciw, Michelle Gates, Michelle Layton, Nicola Antonucci, Noemi Bodo, Rebecca Millard, Sara Lyden, Sarah Young, Simran Barot, Vanessa Cox, Victoria Wharton, Zoe Thompson, Jasmine Bastable, Kathryn Cann, Reena Chohan, Josie Clarke, Gabriel Cogorno, Samantha Cordy, Georgina Coward, David Crawford-Jones, Sean Crawley, Jack Dobson, Bronte Drummond, Laura Dunn, Caleb Edwin, Simon Evans, Mohamad Fadzillah, Jessica Gentry, Sarah C. Hill, Laura Hobden, Nurul Huda, G. K. Innes, Scott E. Jarvis, Gerald Jesuthasan, Emma Jones, Anita Justice, Elizabeth Kalimeris, Richard Kirton, Nakiah Lashley, S. Mason, Alexander Mobbs, Ahila Murugathasan, Eleanor Mustoe, Gospel Ngoke, Sarah Oakley, Oliver O’Sullivan, Kimberley Odwin, Jack Oliver, Freyja Pattrick, Claudia Cristina de Aguiar Pereira, Simon Perry, Tom De Potter, Alexander Prentice, Sophie Ramage, Athena Sanders, Kellyanne Savage, Katherine Shimell, R. L. Terry, Emma Thornton, Susan Wareing, Annie Welbourne, Maddison Wheatley, Lisa Butcher, Gabriella D’Amato, Ruth Moroney, Gemma Pill, Lydia Rylance-Knight, Claire Sutton, Claudia Salvagno, Merline Tabirao, Sarah Wright

Bibliographic record

VenueClinical Infectious Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersHuo Family FoundationInnovative Medicines InitiativePublic Health EnglandUniversity of OxfordDepartment of Health and Social CareNational Institute for Health and Care ResearchNovartis PharmaOntario Genomics InstituteMedical Research CouncilKennedy Trust for Rheumatology ResearchGovernment of the United KingdomEuropean Federation of Pharmaceutical Industries and AssociationsRobertson FoundationNIHR Oxford Biomedical Research CentreWellcome TrustOxford University Hospitals NHS Foundation TrustGilead SciencesMerck KGaAPfizerNational Institute for Health Research Health Protection Research UnitOntario GenomicsFundação de Amparo à Pesquisa do Estado de São PauloGenome Canada
KeywordsMedicineVaccinationIncidence (geometry)AsymptomaticHerd immunityCohortConfidence intervalCohort studyImmunologyInternal medicinePoisson regressionCumulative incidenceImmunityVirologyImmune systemPopulation

Abstract

fetched live from OpenAlex

BACKGROUND: Natural and vaccine-induced immunity will play a key role in controlling the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. SARS-CoV-2 variants have the potential to evade natural and vaccine-induced immunity. METHODS: In a longitudinal cohort study of healthcare workers (HCWs) in Oxfordshire, United Kingdom, we investigated the protection from symptomatic and asymptomatic polymerase chain reaction (PCR)-confirmed SARS-CoV-2 infection conferred by vaccination (Pfizer-BioNTech BNT162b2, Oxford-AstraZeneca ChAdOx1 nCOV-19) and prior infection (determined using anti-spike antibody status), using Poisson regression adjusted for age, sex, temporal changes in incidence and role. We estimated protection conferred after 1 versus 2 vaccinations and from infections with the B.1.1.7 variant identified using whole genome sequencing. RESULTS: In total, 13 109 HCWs participated; 8285 received the Pfizer-BioNTech vaccine (1407 two doses), and 2738 the Oxford-AstraZeneca vaccine (49 two doses). Compared to unvaccinated seronegative HCWs, natural immunity and 2 vaccination doses provided similar protection against symptomatic infection: no HCW vaccinated twice had symptomatic infection, and incidence was 98% lower in seropositive HCWs (adjusted incidence rate ratio 0.02 [95% confidence interval {CI} < .01-.18]). Two vaccine doses or seropositivity reduced the incidence of any PCR-positive result with or without symptoms by 90% (0.10 [95% CI .02-.38]) and 85% (0.15 [95% CI .08-.26]), respectively. Single-dose vaccination reduced the incidence of symptomatic infection by 67% (0.33 [95% CI .21-.52]) and any PCR-positive result by 64% (0.36 [95% CI .26-.50]). There was no evidence of differences in immunity induced by natural infection and vaccination for infections with S-gene target failure and B.1.1.7. CONCLUSIONS: Natural infection resulting in detectable anti-spike antibodies and 2 vaccine doses both provide robust protection against SARS-CoV-2 infection, including against the B.1.1.7 variant.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.123
GPT teacher head0.472
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations82
Published2021
Admission routes1
Has abstractyes

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