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Impact de la pandémie à COVID-19 sur les activités du Service de Pédiatrie du Centre Hospitalier National d'Enfants Albert Royer: étude préliminaire comparant les premiers trimestres des années 2019 et 2020

2020· article· fr· W3040929150 on OpenAlex
Ousmane Ndiaye, F Fall, Papa Moctar Faye, Aliou Thiongane, Amadou Lamine Fall

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePan African Medical Journal · 2020
Typearticle
Languagefr
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMedical prescriptionQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)PandemicPediatricsFamily medicineDiseaseNursingInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

INTRODUCTION: l´objectif de cette étude est d´évaluer l´impact du COVID-19 sur les activités de soins et les recettes au Centre Hospitalier National d´Enfant Albert Royer de Dakar au Sénégal. METHODES: il s´agissait d´une étude rétrospective, descriptive et analytique comparant les activités de consultations externes, d´hospitalisation et les recettes du premier trimestre des années 2019 et 2020. RESULTATS: une baisse moyenne de 33% des consultations externes a été notée au premier trimestre de l´année 2020 correspondant à la période de la pandémie comparée au premier trimestre de 2019. Une augmentation des hospitalisations était observée surtout pour les mois de janvier et février. Cependant, au mois de mars, une baisse de 11% était notée. Il en est de même pour les recettes où une baisse n´est observée qu´au mois de mars; elle était de 10%. CONCLUSION: l´épidémie actuelle au COVID-19 impacte fortement sur les activités de consultations externes, de soins et les recettes du centre hospitalier national d´Enfants Albert Royer. Des mesures efficaces doivent être prises pour éviter les conséquences sur la mortalité et le fonctionnement de la structure.

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.

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)0.004
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.059
GPT teacher head0.384
Teacher spread0.325 · 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