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Epidemiology of viral respiratory infections and preventative measures in high-acuity units

2021· article· en· W4411598149 on OpenAlexvenueaboutno aff
Sameer S. Kassim

Bibliographic record

VenueCanadian Journal of Infection Control · 2021
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsEpidemiologyMedicineRespiratory systemIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

We retrospectively studied the epidemiology and preventative measures in adult and paediatric patients admitted to high-acuity units in Winnipeg, Manitoba. A total of 307 specimens were received, respiratory viruses were detected in 112 individual patient charts (39.4%). The aetiology varied by age-group with mixed viral and bacterial infection, or multiple viral infections noted in 33.3% and 39% in adults and paediatric patients, respectively. Respiratory syncytial virus (RSV) and rhinovirus were detected in 23% and 13% of paediatric patients, whereas influenza and parainfluenza were detected in 6.4% and 5.9% of adult patients, respectively. Influenza vaccination was noted in the charts of 7.8% of adults and 55.8% of children. In total, 34 (58%) paediatric patients and 11 (22%) adult patients had documented infection control orders, with 31 (92%) and four (36%) of these meeting regional guidelines, respectively. This study showed divergent viral aetiology based on age-group, as well as an opportunity to improve healthcare personnel knowledge and documentation of vaccination and infection control protocol.

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 score0.113
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.342
Teacher spread0.282 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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