ReviewNigerian medical journal : journal of the Nigeria Medical Association
Spatiotemporal trends of wildfire distribution and smoke exposure metrics across selected provinces in Canada.
Review in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Wildfire activity in Canada has intensified remarkably in recent years, leading to a record-breaking 2023 season during which transboundary smoke dispersed and affected populations across North America and Europe. Beyond immediate fire-related hazards, wildfire smoke represents a severe environmental and public health threat. Increasing fire frequency, duration, and severity have been linked to climate change, land-use transformation, and prolonged drought. Methodology: An ecological time-series analysis at the provincial level was used to examine spatiotemporal trends in wildfire distribution and PM₂.₅ metrics. Two primary data sources were integrated: wildfire activity indicators (area burned and number of fires) and air quality measurements (PM₂.₅ concentrations and high-risk air quality days). Data were aggregated at the provincial level for each calendar year, enabling temporal trend analysis and ecological correlation assessment. PM₂.₅ concentrations were used as a proxy for wildfire smoke exposure. R statistical software (version 4.4.1) was used for visualization and regression analysis. Results: Temporal trend analysis revealed consistent increases in burned area across the provinces. Ontario demonstrated the largest proportional growth despite non-significant interannual differences. Heat-map visualization demonstrated significant spatial and temporal variability in wildfire burned areas. Quebec recorded the highest wildfire extent in 2023 (>4 million hectares), while British Columbia and Alberta each exceeded 1 million hectares. Ontario consistently exhibited lower burned areas compared to the other provinces. Conclusion: The results from the study revealed that fire intensity, scale, and persistence play a more critical role in determining pollution exposure than the number of fire events alone. These findings highlight the complex interplay between climatic, environmental, and human influences in shaping wildfire dynamics and their public health implications across Canada.
Indexed as
Identifiers
42544279PMC13429085What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.