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Record W4411662135 · doi:10.1002/mlf2.70022

Evidence for fomite transmission of SARS‐CoV‐2 Omicron variant in a mouse model

2025· letter· en· W4411662135 on OpenAlexaff
Sidi Yang, Liu Cao, Kun Li, Tiefeng Xu, Zixiao Yang, Yanxi Ji, Lihong Liu, Birong Zheng, Changwen Ke, Xiaofang Peng, Hong Peng, Deyin Guo, Chunmei Li

Bibliographic record

VenuemLife · 2025
Typeletter
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsInstitute of Infection and Immunity
FundersNational Key Research and Development Program of ChinaSun Yat-sen University
KeywordsTransmission (telecommunications)Coronavirus disease 2019 (COVID-19)PandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Environmental healthHygiene2019-20 coronavirus outbreakBetacoronavirusAirborne transmissionMedicineVirologyComputer scienceDiseaseOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Throughout the COVID-19 pandemic, the risk of fomite-based transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has not been systematically investigated. In this study, we employed the K18-hACE2 mouse infection model to experimentally assess the relative contribution of fomite transmission. Our findings indicate that while fomite transmission can occur in certain cases, the risk of fomite transmission in natural settings may be relatively low when appropriate hygiene practices are followed. These results may help optimize public health measures for more effective control of the COVID-19 pandemic.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.631
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

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

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 head0.076
GPT teacher head0.337
Teacher spread0.261 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2025
Admission routes1
Has abstractyes

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