Inuit communities can beat COVID-19 and tuberculosis
Notice bibliographique
Résumé
Inuit communities are at high risk for respiratory infections and coronavirus disease 2019 (COVID-19) because they are currently fighting another respiratory infection epidemic, tuberculosis. Inuit today are nearly 300 times more likely to get tuberculosis than any Canadian born, non-indigenous person.1Patterson M Finn S Barker K Addressing tuberculosis among Inuit in Canada.Can Commun Dis Rep. 2018; 44: 82-85Crossref PubMed Google Scholar COVID-19 has been reported in Inuit communities in Nunavik, Canada; however, no case of COVID-19 disease has been reported in Nunavut, Canada.2CBC NewsNunavik-wide curfew in effect after first case of COVID-19.https://www.cbc.ca/news/canada/north/nunavik-wide-curfew-in-effect-tonight-covid-1.5514197Date: March 29, 2020Date accessed: April 1, 2020Google Scholar But there is no room for complacency. In Clyde River, Nunavut, the community is already implementing emergency readiness plans for the control of COVID-19.3Anselmi E Clyde River council voices COVID-19 concerns.https://nunatsiaq.com/stories/article/clyde-river-council-voices-covid-19-concerns/Date: March 31, 2020Date accessed: April 1, 2020Google Scholar Communities in this area are reachable only by air, have very basic medical care facilities, and have insufficient COVID-19 testing available. If the virus that causes COVID-19 reaches Nunavut, it could have tragic consequences. Defeating infectious diseases requires community-driven responses. Community leadership together with a coordinated public health approach are needed to eliminate tuberculosis in Nunavut. We need the same response for COVID-19. WHO has recognised the need for community-driven responses and encourages implementation of innovative people-centred approaches to tuberculosis during the COVID-19 pandemic.4WHOInformation note: tuberculosis and COVID-19.https://www.who.int/tb/COVID_19considerations_tuberculosis_services.pdfDate: April 4, 2020Date accessed: April 1, 2020Google Scholar Community organisations, such as Ilisaqsivik Society and SeeChange Initiative, have developed a unique collaborative model:5See Change Initiative. We can pass the flame: a community first approach to tuberculosis elimination in Nunavut.https://www.seechangeinitiative.org/tbprojectDate accessed: April 6, 2020Google Scholar a fundamentally community-first approach that provides control, space, and resources for community members to empower themselves to eliminate tuberculosis. It can do the same for COVID-19. The model includes the development of emergency readiness plans (eg, sourcing hygiene materials for the community), the creation of radio and online platforms to share culturally appropriate material on COVID-19, the training of community members to share relevant health-care tasks (eg, telemedicine); and the promotion of surveys and mask wearing. Equipped with culturally appropriate information and ownership of the resources needed to tackle COVID-19 and tuberculosis, Inuit communities can protect and prepare their members. Clyde River and other communities are leading the way in Nunavut. Elsewhere, communities that are given adequate resources and implement prevention and treatment strategies can win the fight against COVID-19 and tuberculosis. We declare no competing interests.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».