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Record W4313494313 · doi:10.1101/2023.01.02.23284109

Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA.1

2023· preprint· en· W4313494313 on OpenAlexaff
Joseph L.-H. Tsui, Ben Lambert, Sumali Bajaj, John T. McCrone, Rhys Inward, Paolo Bosetti, Verity Hill, Rosario Evans Pena, Alexander E. Zarebski, Thomas P. Peacock, Luyang Liu, Neo Wu, Megan Davis, Isaac I. Bogoch, Kamran Khan, Rachel Colquhoun, Áine O’Toole, Ben Jackson, Abhishek Dasgupta, Eduan Wilkinson, Houriiyah Tegally, Túlio de Oliveira, Thomas R. Connor, Nicholas J. Loman, Vittoria Colizza, Christophe Fraser, Erik Volz, Xiang Ji, Marc A. Suchard, Bernardo Gutiérrez, Meera Chand, Simon Dellicour, Simon Cauchemez, Jayna Raghwani, Philippe Lemey, Andrew Rambaut, Oliver G. Pybus, Moritz U. G. Kraemer

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversity of TorontoBlueDot (Canada)
FundersMedical Research CouncilDirectorate for Biological SciencesEuropean CommissionRockefeller FoundationNational Institute for Health and Care ResearchUK Research and InnovationBiotechnology and Biological Sciences Research CouncilDepartment of Health and Social CareWellcome Trust
KeywordsBiological dispersalGeographySpatial epidemiologyPopulationEconomic geographyTransmission (telecommunications)Spatial ecologyIncidence (geometry)Human migrationDemographyEvolutionary biologyCartographyBiologyEcologyEpidemiologyMedicineTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Summary SARS-CoV-2 variants of concern (VOCs) arise against the backdrop of increasingly heterogeneous human connectivity and population immunity. Through a large-scale phylodynamic analysis of 115,622 Omicron genomes, we identified >6,000 independent introductions of the antigenically distinct virus into England and reconstructed the dispersal history of resulting local transmission. Travel restrictions on southern Africa did not reduce BA.1 importation intensity as secondary hubs became major exporters. We explored potential drivers of BA.1 spread across England and discovered an early period during which viral lineage movements mainly occurred between larger cities, followed by a multi-focal spatial expansion shaped by shorter distance mobility patterns. We also found evidence that disease incidence impacted human commuting behaviours around major travel hubs. Our results offer a detailed characterisation of processes that drive the invasion of an emerging VOC across multiple spatial scales and provide unique insights on the interplay between disease spread and human mobility. Highlights Over 6,000 introductions ignited the epidemic wave of Omicron BA.1 in England Importations prior to international travel restrictions were responsible for majority of local BA.1 infections but importations continued from sources other than southern Africa Human mobility at regional and local spatial scales shaped dissemination and growth of BA.1 Changes in human commuting patterns are associated with higher case incidence in travel hubs across England

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.105
GPT teacher head0.399
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations9
Published2023
Admission routes1
Has abstractyes

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