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Record W3134208712 · doi:10.1126/science.abg3055

Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England

2021· article· en· W3134208712 on OpenAlexfundno aff
Nicholas G. Davies, Sam Abbott, Rosanna C. Barnard, Christopher I Jarvis, Adam J. Kucharski, James D Munday, Carl A. B. Pearson, Timothy Russell, Damien C. Tully, Alex Washburne, Tom Wenseleers, Amy Gimma, William Waites, Kerry LM Wong, Kevin van Zandvoort, Justin D. Silverman, Karla Diaz‐Ordaz, Ruth H. Keogh, Rosalind M. Eggo, Sebastian Funk, Mark Jit, Katherine E. Atkins, W. John Edmunds

Bibliographic record

VenueScience · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersResearch EnglandStatens Serum InstitutMedical Research CouncilHôpitaux Universitaires de GenèveCANDU Owners GroupPublic Health EnglandResearch Councils UKNational Institute of General Medical SciencesNational Institute for Health and Care ResearchNational Institute for Health Research Health Protection Research UnitAcademy of Medical SciencesWellcome TrustEconomic and Social Research CouncilForeign, Commonwealth and Development OfficeEuropean CommissionUniversity of BernUniversitätsspital BaselUniversité de SfaxUK Research and InnovationEidgenössische Technische Hochschule ZürichUniversity of KentuckyBill and Melinda Gates Foundation
KeywordsTransmissibility (structural dynamics)Lineage (genetic)Transmission (telecommunications)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Incidence (geometry)VirologyVirusCoronavirus disease 2019 (COVID-19)Coronavirus2019-20 coronavirus outbreakBiologyMutationSars virusMedicineDiseaseOutbreakGeneticsGeneInfectious disease (medical specialty)Computer scienceInternal medicine

Abstract

fetched live from OpenAlex

A severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, VOC 202012/01 (lineage B.1.1.7), emerged in southeast England in September 2020 and is rapidly spreading toward fixation. Using a variety of statistical and dynamic modeling approaches, we estimate that this variant has a 43 to 90% (range of 95% credible intervals, 38 to 130%) higher reproduction number than preexisting variants. A fitted two-strain dynamic transmission model shows that VOC 202012/01 will lead to large resurgences of COVID-19 cases. Without stringent control measures, including limited closure of educational institutions and a greatly accelerated vaccine rollout, COVID-19 hospitalizations and deaths across England in the first 6 months of 2021 were projected to exceed those in 2020. VOC 202012/01 has spread globally and exhibits a similar transmission increase (59 to 74%) in Denmark, Switzerland, and the United States.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.105
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.086
GPT teacher head0.434
Teacher spread0.348 · 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

Citations2,611
Published2021
Admission routes1
Has abstractyes

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