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Record W4225079508 · doi:10.1101/2022.01.26.22269917

Viral Cultures for Assessing Fomites Transmission of SARS-CoV-2: a Systematic

2022· preprint· en· W4225079508 on OpenAlexafffund
Igho Onakpoya, Carl Heneghan, Elizabeth Spencer, Jon Brassey, Elena Cecilia Roşca, Susanna Maltoni, Annette Plüddemann, David H. Evans, John Conly, Tom Jefferson

Bibliographic record

VenuemedRxiv · 2022
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsAlberta Health ServicesUniversity of CalgaryUniversity of Alberta
FundersNIHR School for Primary Care ResearchEuropean Academy of NeurologyRegione Emilia-RomagnaUniversity of CalgaryNational Institute for Health and Care ResearchInternational Parkinson and Movement Disorder SocietyWorld Health Organization
KeywordsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Transmission (telecommunications)Sars virusAirborne transmissionCoronavirus disease 2019 (COVID-19)ChecklistVirology2019-20 coronavirus outbreakBiologyMedicineComputer scienceInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

ABSTRACT This is a protocol for a systematic review to assess fomite transmission in SARS-CoV-2. Our research questions are as follows: Are fomite samples infectious? If so, what proportion are infectious, and what is the distance and duration of infectiousness in the air? What is the relationship between fomites, infectiousness and PCR cycle threshold (Ct)? Is there evidence of a chain of transmission that establishes an actual instance of fomite transmission of SARS-CoV-2? We will include studies of any design (and in any setting) that investigate fomite transmission (defined as any inanimate object that, when contaminated with or exposed to infectious agents, can transfer the agent to a new host). We will only include studies that performed viral culture which assessed cytopathic effect and verification techniques to ensure the cultured virus is SARS-CoV-2. We will assess the risk of bias using a checklist modified from the QUADAS-2 criteria.

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)0.147
metaresearch head score (Gemma)0.255
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.147
Threshold uncertainty score0.777

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1470.255
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0130.018
Bibliometrics0.0180.015
Science and technology studies0.0030.004
Scholarly communication0.0070.006
Open science0.0050.006
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0270.004

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 head0.081
GPT teacher head0.411
Teacher spread0.329 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes2
Has abstractyes

Explore more

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