ORIGINAL RESEARCH article
Front. Public Health
Sec. Public Health Policy
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1448812
This article is part of the Research TopicInnovative Strategies for Urban Public Health Resilience in Crisis SituationsView all 11 articles
Disproportionate Impact of the COVID-19 Pandemic on Socially Vulnerable Communities: The Case of Jane and Finch in Toronto, Ontario
Provisionally accepted- 1York University, Toronto, Canada
- 2Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal Network, Canada, Canada
- 3Africa-Canada Artificial Intelligence and Data Innovation Consortium, Department of Mathematics and Statistics, Faculty of Science, York University, Canada, Canada
- 4Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network, Toronto, Canada
- 5Black Creek Community Health Centre, North York, Canada
- 6Faculty of Environment and Urban Change, York University, North York, Canada
- 7Department of Sociology, Faculty of Social Sciences, University of York, York, Ontario, United Kingdom
- 8Department of Geography and Planning, Faculty of Arts and Science, Queen’s University, Kingston, Ontario, Canada
- 9Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
- 10Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- 11Department of Mathematics, Faculty of Arts and Science, University of Toronto, Toronto, Canada
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Objective: This work aims to study the disproportionate impact of the COVID-19 pandemic on the Jane and Finch community, one of the socially vulnerable neighborhoods in the Greater Toronto Area (GTA), Ontario, Canada, in terms of morbidity, mortality, and healthcare services. Methodology: A dataset provided by the Black Creek Community Health Centre (BCCHC), gathered from different health-related portals, covering various health statistics during COVID-19, namely, COVID-19 number of cases, hospitalizations, deaths, percentage of vaccination with one-, two-, and three-dose(s), Primary and Preventive Care (PPC) visits which include fecal and pap-smear cancer tests, and percentage of completed Imaging, Procedures, and Surgeries (IPS) which include the number of patients waiting for surgery were studied using statistical analysis. Underserved communities in the Peel, York, and City of Toronto regions were recognized using the Ontario Marginalized Index (ON-Marg). The Jane and Finch community was selected from the fifth quintile of the ON-Marg index and compared with the remaining locations (first to fourth ON-Marg quantiles) using Kruskal-Wallis, Mann-Whitney u, and t-tests. The Gini index was used to understand the inequality of the health parameters among the selected neighborhoods. Local Indicator of Spatial Association (LISA) was used to detect the neighborhoods with significantly higher numbers of COVID-19 cases, hospitalizations, and mortalities. Results: The Jane and Finch community had a significantly (p<.0001) higher number of COVID-19 cases, hospitalizations, and mortalities. The significance and cluster analysis of LISA also extracted the Jane and Finch community as one of the hotspots with significantly higher COVID-19 infection, hospitalization, and death. The percentage of the third-dose vaccination was significantly lower for the Jane and Finch community (p=.0004). The number of patients during the COVID-19 pandemic versus before that decreased significantly more for pop-smear tests (p=.041) and surgery waitlists (p=.037) for the Jane and Finch community. Conclusion: As one of the most socially vulnerable communities of GTA, the Jane and Finch community has endured a heavier burden of the disease during the COVID-19 pandemic. This work aims to help the Jane and Finch community recover faster by shedding light on health areas in which it has suffered more from the COVID-19 outcomes.
Keywords: COVID-19, Greater toronto area (GTA), Gini index, Jane and Finch Community, Local Indicator of Spatial Association (LISA), statistical tests, Socially vulnerable population
Received: 13 Jun 2024; Accepted: 16 May 2025.
Copyright: © 2025 Movahedi Nia, Prescod, Westin, Perkins, Goitom, Fevrier, Bawa and Kong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jude Dzevela Kong, Resilience Research Atlantic Alliance on Sustainability, Supporting Recovery and Renewal Network, Canada, Canada
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