The summer of smoke: ecosocial and health impacts of a record wildfire season in the Northwest Territories, Canada
Notice bibliographique
Résumé
BackgroundBetween June and August 2014, Canada's Northwest Territories experienced their worst wildfire season on record, with prolonged smoke events and poor air quality. In total, 385 separate fires burned 3 400 000 hectares of land costing CAN$56·1 million in firefighting expenses. In the context of climate change, this study sought to explore the lived experience of the 2014 wildfire season among four communities in the Northwest Territories.MethodsQuantitatively, we explored associations between air quality (PM 2.5 level), emergency room admissions for respiratory and cardiac events, and dispensations of salbutamol (non-prescription inhaler) during the summer of 2014 compared to 2012 and 2013. Qualitatively, we conducted 30 semi-structured interviews in four communities (Yellowknife, N’Dilo, Dettah, and Kakisa). Interviews were video recorded, and the audio portion of each interview was transcribed to facilitate analysis and theme generation.FindingsBetween June 15 and August 31, 2014, 55% of days had a PM 2·5 above 25 μg/m3, compared to 4% of days in 2012 and 9% of days in 2013. The highest daily PM 2.5 in 2014 was 320·4 μg/m3. Emergency room visits for asthma and pneumonia increased in 2014 compared to 2012 and 2013, but the number of cardiac-related visits did not change. Primary care visits for cough, asthma, and pneumonia and dispensations for prescription inhalers (salbutamol) also increased in 2014 relative to 2012 and 2013. Interviewees reported how their experiences of evacuation and isolation and feelings of fear, stress, and uncertainty contributed to acute and long-term negative effects on their mental and emotional wellbeing. Prolonged smoke events were linked to extended time indoors and respiratory problems. Livelihood and land-based activities were disrupted for some Indigenous interviewees, which had negative consequences for mental, emotional, and physical wellbeing. Individual and community stories of adaptation and resilience before and during the summer were shared; however, there was consensus about the need for improved risk communication and coordination at the community and territorial level to address similar events in the future.InterpretationCoordinated community-based education, communication, and adaptation initiatives that are inclusive of local knowledge, values, and context are needed to address the expressed needs of community members associated with prolonged smoke events and wildfire seasons.FundingHealth Canada.
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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 | 0,002 | 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 | 0,001 | 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.
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