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Res.: Health"],"published-print":{"date-parts":[[2026,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Standards for air pollution are becoming more stringent. Canada will update the annual average fine particulate matter (PM\n                    <jats:sub>2.5<\/jats:sub>\n                    ) standard to 8\n                    <jats:italic>\u00b5<\/jats:italic>\n                    g m\n                    <jats:sup>\u22123<\/jats:sup>\n                    in 2030, which questions the adequacy of existing PM\n                    <jats:sub>2.5<\/jats:sub>\n                    monitoring capacity for evaluating potential exceedances and exposure risk at community level. Although PM\n                    <jats:sub>2.5<\/jats:sub>\n                    monitoring has expanded beyond regulatory monitors to include low-cost sensors, concerns remain regarding inequalities in its effective coverage and thus data representativeness for exposure estimations. Understanding the connections between PM\n                    <jats:sub>2.5<\/jats:sub>\n                    monitor density, surface exposure, and neighbourhood socio-economic deprivation and health vulnerability is important for addressing compounded inequities. In this study, we applied locally adaptive kernel density estimation to calculate total PM\n                    <jats:sub>2.5<\/jats:sub>\n                    monitor density from 2020 to 2024 in Ontario, Quebec, and Atlantic Canada. Local bandwidths were defined for each monitored location by considering the surrounding variability of surface PM\n                    <jats:sub>2.5<\/jats:sub>\n                    concentrations and its sensitivity to distinguish exceedances. Suburban communities of Montreal, Toronto, near-border regions of Windsor and Niagara, southeast Kitchener, and remote communities in northwest Ontario had observed multiple disparities, with more pronounced socio-economic marginalization, higher surface exposure, but inadequate monitoring. Based on mixed-effects logistic regression, residential instability and situationally vulnerable populations had 25% and 54% higher odds of being deprived in PM\n                    <jats:sub>2.5<\/jats:sub>\n                    monitoring capacity, respectively, after controlling for surface PM\n                    <jats:sub>2.5<\/jats:sub>\n                    and emission facility density. Assessments of random-effects also suggested the importance of locally adapted strategies to account for provincial and inter-municipality variations in monitoring disparities among socio-economically marginalized groups and populations with physical or psychological disabilities. Overall, our findings inform vulnerable communities in need of monitoring expansion for precise air quality control and health risk assessments in light of the new standard.\n                  <\/jats:p>","DOI":"10.1088\/2752-5309\/ae87c0","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T22:50:32Z","timestamp":1783551032000},"page":"035013","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Disparities in fine particulate matter (PM\n                    <sub>2.5<\/sub>\n                    ) monitoring capacity in eastern Canada"],"prefix":"10.1088","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5284-7671","authenticated-orcid":true,"given":"Tsz Kin","family":"Siu","sequence":"first","affiliation":[{"name":"Dalhousie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5394-1397","authenticated-orcid":false,"given":"Alexandra","family":"Del Favero-Campbell","sequence":"additional","affiliation":[{"name":"Dalhousie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3932-2942","authenticated-orcid":false,"given":"Daniel G","family":"Rainham","sequence":"additional","affiliation":[{"name":"School of Health and Human Performance, Dalhousie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2337-098X","authenticated-orcid":false,"given":"Rachel Y-W","family":"Chang","sequence":"additional","affiliation":[{"name":"Dalhousie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3710-3877","authenticated-orcid":true,"given":"Christopher S","family":"Greene","sequence":"additional","affiliation":[{"name":"Dalhousie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8659-6794","authenticated-orcid":false,"given":"Kelvin C","family":"Fong","sequence":"additional","affiliation":[{"name":"Dalhousie University"},{"name":"Milken Institute School of Public Health, George Washington University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,8,3]]},"reference":[{"key":"erhae87c0bib1","doi-asserted-by":"publisher","DOI":"10.1183\/20734735.0040-2023","type":"journal-article","article-title":"Air quality and respiratory health in children","volume":"19","author":"Aithal","year":"2023","journal-title":"Breathe"},{"key":"erhae87c0bib2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0289292","type":"journal-article","article-title":"Comparison of socio-economic determinants of COVID-19 testing and positivity in Canada: a multi-provincial analysis","volume":"18","author":"Antonova","year":"2023","journal-title":"PLoS One"},{"key":"erhae87c0bib3","doi-asserted-by":"publisher","first-page":"5441","DOI":"10.5194\/amt-13-5441-2020","type":"journal-article","article-title":"Measurements of PM2.5 with PurpleAir under atmospheric conditions","volume":"13","author":"Ardon-Dryer","year":"2020","journal-title":"Atmos. 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