Disproportionate impact of the COVID-19 pandemic on socially vulnerable communities: the case of Jane and Finch in Toronto, Ontario.
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| Title: | Disproportionate impact of the COVID-19 pandemic on socially vulnerable communities: the case of Jane and Finch in Toronto, Ontario. |
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| Authors: | Movahedi Nia Z; Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal (REASURE2) Network, Toronto, ON, Canada.; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Department of Mathematics and Statistics, York University, Toronto, ON, Canada.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), Toronto, ON, Canada., Prescod C; Black Creek Community Health Centre, (BCCHC), Toronto, ON, Canada., Westin M; Black Creek Community Health Centre, (BCCHC), Toronto, ON, Canada., Perkins P; Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal (REASURE2) Network, Toronto, ON, Canada.; Faculty of Environment and Urban Change, York University, Toronto, ON, Canada., Goitom M; Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal (REASURE2) Network, Toronto, ON, Canada.; School of Social Work, York University, Toronto, ON, Canada., Fevrier K; Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal (REASURE2) Network, Toronto, ON, Canada.; Department of Geography and Planning, Queen's University, Kingston, ON, Canada., Bawa S; Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal (REASURE2) Network, Toronto, ON, Canada.; Department of Sociology, York University, Toronto, ON, Canada., Kong JD; Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal (REASURE2) Network, Toronto, ON, Canada.; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Department of Mathematics and Statistics, York University, Toronto, ON, Canada.; Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), Toronto, ON, Canada.; Artificial Intelligence and Mathematical Modeling Lab (AIMM Lab), Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto, Toronto, ON, Canada.; Bahen Centre for Information Technology, Department of Mathematics, University of Toronto, Toronto, ON, United States. |
| Source: | Frontiers in public health [Front Public Health] 2025 Jun 11; Vol. 13, pp. 1448812. Date of Electronic Publication: 2025 Jun 11 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2025.1448812 |
