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Enregistrement W2279097798

Can we stop the spread of influenza in schools with face masks?

2009· article· en· W2279097798 sur OpenAlexaff
Sara Y. Del Valle, Raymond Tellier, Gary S. Settles, Julian W. Tang

Notice bibliographique

RevueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2009
Typearticle
Langueen
DomaineMathematics
ThématiqueCOVID-19 epidemiological studies
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésAbsenteeismPandemicSocial distancePsychological interventionHygieneMedicinePreparednessIsolation (microbiology)Influenza pandemicEnvironmental healthFamily medicineCoronavirus disease 2019 (COVID-19)DiseaseInfectious disease (medical specialty)NursingPolitical sciencePsychologySocial psychologyLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the absence of a strain-specific vaccine and the potential resistance to antiviral medication, nonpharmaceutical interventions can be used to reduce the spread of an infectious disease such as influenza. The most common non-pharmaceutical interventions include school closures, travel restrictions, social distancing, enforced or volunteer home isolation and quarantine, improved hand hygiene, and the appropriate wearing of face masks. However, for some of these interventions, there are some unavoidable economic costs to both employees and employers, as well as possible additional detriment to society as a whole. For example, it has been shown that school-age children are most likely to be infected and act as sources of infection for others, due to their greater societal interaction and increased susceptibility. Therefore, preventing or at least reducing infections in children is a logical first-line of defense. For this reason, school closures have been widely investigated and recommended as part of pandemic influenza preparedness, and some studies support this conclusion. Yet, school closures would result in lost work days if at least one parent must be absent from work to care for children who would otherwise be at school. In addition, the delay in-academic progress may be detrimental due to mass school absenteeism. In particular, the pandemic influenza guidance by the U.S. Department of Health and Human Services recommends school closures for less than four weeks for Category 2 and 3 pandemics (i.e., similar to the milder 1957 and 1968 pandemics) and one to three months for Category 4 and 5 pandemics (i .e., similar to the 1918 pandemic ). Yet, given the above, it is clear that closing schools for up to three months is unlikely to be a practical mitigation strategy for many families and society. Thus modelers and policy makers need to weigh all factors before recommending such drastic measures, particularly if the agent under consideration typically has low mortality and causes a mild disease. Therefore, we contend that face masks are an effective, practical, non-pharmaceutical intervention that would reduce the spread of disease among school-children, while keeping schools open. Influenza spreads through person-to-person contact, via transmission by large droplets or aerosols (droplet nuclei) produced by breathing, talking, coughing or sneezing, as well as by direct (though most people touch very few others in their daily lives) or indirect (i.e., via fomites) contact. Face masks act as a physical barrier to reduce the amount of potentially infectious inhaled and exhaled particles, although they would not reliably protect the wearer against aerosols; a recent study also demonstrated that they can redirect and decelerate exhaled airflows (when worn by an infected individual) to prevent them from entering the breathing zones of others. Thus, if a whole classroom were to don face masks, disease transmission would be expected to be greatly diminished. Another recent study on face masks and hand hygiene show a 10-50% transmission reduction for influenza-like illnesses. Furthermore, face masks can act as an effective physical reminder and barrier to transmission by preventing the wearer from touching any potentially infectious secretions from their mucous membranes (i.e., from the nose and mouth), which is another mechanism for direct and indirect contact transmission for influenza. A recent systematic review has suggested that wearing masks can be highly effective in limiting the transmission of respiratory infections, such as influenza. Yet, admittedly, the effectiveness of this intervention strategy is highly dependent on compliance (i.e., the willingness to wear the mask in all appropriate situations), which in tum depends on comfort, convenience, fitness, and hygiene. Importantly, masks themselves must not become a source of infection (or reinfection); as such they should be replaced or sanitized daily (where possible) to maximize effectiveness. One solution could be for masks to be touted as fashion accessories, which may be particularly effective in influencing trend-conscious children. With support from the fashion industry and a child-targeted public health campaign, it may be possible to encourage such a trend and make the mask an acceptable fashion item, as well as an important means of infectious disease control.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,021
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,034
Score d'incertitude au seuil0,112

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,021
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,000
Études des sciences et des technologies0,0020,003
Communication savante0,0030,009
Science ouverte0,0020,003
Intégrité de la recherche0,0090,008
Charge utile insuffisante (le modèle a refusé de juger)0,0340,013

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,062
Tête enseignante GPT0,323
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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