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Chronic environmental contamination inequitably affects Indigenous communities across Canada, including a First Nation (FN) near a major industrial city in northwestern Ontario. Motivated by reports of elevated blood cancer rates and widespread pollution in this FN, we developed an environmental monitoring framework that synthesizes geoelectrical, hydrogeological, and geochemical data, alongside numerical modelling of groundwater flow and contaminant transport, with Indigenous Knowledge, community priorities, and lived experiences. Structured around five interlinked layers-Foundational, Diagnostic, Process, Validation, and Communication-this framework is the core of the study, supporting the integration of diverse knowledge sources across spatial and temporal data scales. Geoelectrical surveys reveal a leachate plume migrating northeast from an industrial landfill toward the FN community. Hydrogeochemical data indicates a correlation between concentrations of heavy metals, low resistivity and high induced polarization anomalies. Other pollution sources in peripheral areas contribute to elevated levels of heavy metals and carcinogenic hydrocarbons in groundwater, soils, and sediments. Groundwater flow simulations (1990-2030), constrained by site-specific geological and hydrometeorological data, show that rainy periods accelerate contaminant migration, overwhelming mitigation systems and increasing exposure risks. Indigenous oral histories and environmental observations ground technical findings in lived experience, reinforcing their interpretation and guiding research priorities. This study yields time-evolution environmental threat maps and predictive contaminant transport models. These outcomes support risk assessment and inform locally actionable mitigation and remediation strategies, contributing to more effective spatial-temporal environmental monitoring and advancing Indigenous health equity in rural and remote Canadian settings.
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http://dx.doi.org/10.1007/s10653-025-02670-y | DOI Listing |
Fitoterapia
September 2025
African Medicines Innovations and Technologies Development, Department of Pharmacology, Faculty of Health Sciences, University of the Free State, Bloemfontein 9300, South Africa.
Asteriscus graveolens (A. graveolens) belongs to the family Asteraceae. It is native to North Africa and the Asian deserts, with the majority of its distribution in Southwest Algeria and Southeast Morocco.
View Article and Find Full Text PDFJ Environ Manage
September 2025
School of the Environment and Department of Forensic Science, Trent University, Canada. Electronic address:
The | Ililiwaskiy (Moose Cree First Nation Territory) in the James Bay region of Ontario, Canada, and like many Indigenous communities across the globe has experienced decades of industrial activity impacting its ecosystems. Community concerns regarding mercury levels in culturally significant fish species led to an interdisciplinary research initiative. This study combined scientific analysis and community knowledge to assess mercury concentrations in three traditionally consumed fish species-walleye (Sander vitreus), northern pike (Esox lucius), and lake sturgeon (Acipenser fulvescens).
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
School of Rehabilitation Science, University of Saskatchewan, Saskatoon, SK, Canada.
Background: In Canada, the Indigenous population is the youngest and fastest growing, yet ongoing health disparities for Indigenous peoples are widely recognized. There is a concerning lack of research on childhood disabilities and health conditions in Indigenous populations in Canada. For children with disabilities and chronic health conditions, ongoing access to rehabilitation services, such as occupational therapy, physical therapy, speech-language pathology, and audiology, is critical in promoting positive health and developmental outcomes.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFOne Health
December 2025
School of Public Health, University of Alberta, 1405 87 Ave NW, Edmonton, Alberta T6G 1C9, Canada.
Clams are an important country food with cultural, environmental, and health significance for Inuit communities in Nunavut. We analyzed the extent, range, and nature of published research on clams in Nunavut, Canada. We used a systematic and transparent scoping review methodology by applying a search string across three databases to identify potentially relevant articles.
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