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Record W3019295100 · doi:10.1016/s2468-2667(20)30091-8

Inuit communities can beat COVID-19 and tuberculosis

2020· article· en· W3019295100 on OpenAlexaffabout
Rachel Kiddell‐Monroe, Malcolm Ranta, Sheila Enook, Peter Saranchuk

Bibliographic record

VenueThe Lancet Public Health · 2020
Typearticle
Languageen
FieldMedicine
TopicAmoebic Infections and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsCurfewTuberculosisCoronavirus disease 2019 (COVID-19)Public healthIndigenousMedicineInfectious disease (medical specialty)GeographyEnvironmental healthSocioeconomicsDiseaseSociologyNursing

Abstract

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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.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.704
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.186
GPT teacher head0.371
Teacher spread0.184 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2020
Admission routes2
Has abstractyes

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