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COVID-19 Cases Among Congregate Care Facility Staff by Neighborhood of Residence and Social and Structural Determinants: Observational Study.
Ma, Huiting; Yiu, Kristy C Y; Baral, Stefan D; Fahim, Christine; Moloney, Gary; Darvin, Dariya; Landsman, David; Chan, Adrienne K; Straus, Sharon; Mishra, Sharmistha.
  • Ma H; St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
  • Yiu KCY; St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
  • Baral SD; Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.
  • Fahim C; St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
  • Moloney G; St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
  • Darvin D; St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
  • Landsman D; St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
  • Chan AK; Division of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Straus S; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
  • Mishra S; Division of Infectious Diseases, Sunnybrook Health Sciences, University of Toronto, Toronto, ON, Canada.
JMIR Public Health Surveill ; 8(10): e34927, 2022 10 04.
Article in English | MEDLINE | ID: covidwho-2198020
ABSTRACT

BACKGROUND:

Disproportionate risks of COVID-19 in congregate care facilities including long-term care homes, retirement homes, and shelters both affect and are affected by SARS-CoV-2 infections among facility staff. In cities across Canada, there has been a consistent trend of geographic clustering of COVID-19 cases. However, there is limited information on how COVID-19 among facility staff reflects urban neighborhood disparities, particularly when stratified by the social and structural determinants of community-level transmission.

OBJECTIVE:

This study aimed to compare the concentration of cumulative cases by geography and social and structural determinants across 3 mutually exclusive subgroups in the Greater Toronto Area (population 7.1 million) community, facility staff, and health care workers (HCWs) in other settings.

METHODS:

We conducted a retrospective, observational study using surveillance data on laboratory-confirmed COVID-19 cases (January 23 to December 13, 2020; prior to vaccination rollout). We derived neighborhood-level social and structural determinants from census data and generated Lorenz curves, Gini coefficients, and the Hoover index to visualize and quantify inequalities in cases.

RESULTS:

The hardest-hit neighborhoods (comprising 20% of the population) accounted for 53.87% (44,937/83,419) of community cases, 48.59% (2356/4849) of facility staff cases, and 42.34% (1669/3942) of other HCW cases. Compared with other HCWs, cases among facility staff reflected the distribution of community cases more closely. Cases among facility staff reflected greater social and structural inequalities (larger Gini coefficients) than those of other HCWs across all determinants. Facility staff cases were also more likely than community cases to be concentrated in lower-income neighborhoods (Gini 0.24, 95% CI 0.15-0.38 vs 0.14, 95% CI 0.08-0.21) with a higher household density (Gini 0.23, 95% CI 0.17-0.29 vs 0.17, 95% CI 0.12-0.22) and with a greater proportion working in other essential services (Gini 0.29, 95% CI 0.21-0.40 vs 0.22, 95% CI 0.17-0.28).

CONCLUSIONS:

COVID-19 cases among facility staff largely reflect neighborhood-level heterogeneity and disparities, even more so than cases among other HCWs. The findings signal the importance of interventions prioritized and tailored to the home geographies of facility staff in addition to workplace measures, including prioritization and reach of vaccination at home (neighborhood level) and at work.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2022 Document Type: Article Affiliation country: 34927

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2022 Document Type: Article Affiliation country: 34927