Visible minority status and occupation were associated with increased COVID-19 infection in Greater Vancouver British Columbia between June and November 2020 : an ecological study
Copyright © 2024 Adhikari, Abdia, Ringa, Clemens, Mak, Rose, Janjua, Otterstatter and Irvine..
Background: The COVID-19 pandemic has highlighted health disparities, especially among specific population groups. This study examines the spatial relationship between the proportion of visible minorities (VM), occupation types and COVID-19 infection in the Greater Vancouver region of British Columbia, Canada.
Methods: Provincial COVID-19 case data between June 24, 2020, and November 7, 2020, were aggregated by census dissemination area and linked with sociodemographic data from the Canadian 2016 census. Bayesian spatial Poisson regression models were used to examine the association between proportion of visible minorities, occupation types and COVID-19 infection. Models were adjusted for COVID-19 testing rates and other sociodemographic factors. Relative risk (RR) and 95% Credible Intervals (95% CrI) were calculated.
Results: We found an inverse relationship between the proportion of the Chinese population and risk of COVID-19 infection (RR = 0.98 95% CrI = 0.96, 0.99), whereas an increased risk was observed for the proportions of the South Asian group (RR = 1.10, 95% CrI = 1.08, 1.12), and Other Visible Minority group (RR = 1.06, 95% CrI = 1.04, 1.08). Similarly, a higher proportion of frontline workers (RR = 1.05, 95% CrI = 1.04, 1.07) was associated with higher infection risk compared to non-frontline.
Conclusion: Despite adjustments for testing, housing, occupation, and other social economic status variables, there is still a substantial association between the proportion of visible minorities, occupation types, and the risk of acquiring COVID-19 infection in British Columbia. This ecological analysis highlights the existing disparities in the burden of diseases among different visible minority populations and occupation types.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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| Enthalten in: |
Frontiers in public health - 12(2024) vom: 22., Seite 1336038 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Adhikari, Binay [VerfasserIn] |
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| Links: |
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| Themen: |
Bayesian analysis |
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| Anmerkungen: |
Date Completed 15.03.2024 Date Revised 15.03.2024 published: Electronic-eCollection Citation Status MEDLINE |
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| doi: |
10.3389/fpubh.2024.1336038 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM369715403 |
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| 245 | 1 | 0 | |a Visible minority status and occupation were associated with increased COVID-19 infection in Greater Vancouver British Columbia between June and November 2020 |b an ecological study |
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| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 Adhikari, Abdia, Ringa, Clemens, Mak, Rose, Janjua, Otterstatter and Irvine. | ||
| 520 | |a Background: The COVID-19 pandemic has highlighted health disparities, especially among specific population groups. This study examines the spatial relationship between the proportion of visible minorities (VM), occupation types and COVID-19 infection in the Greater Vancouver region of British Columbia, Canada | ||
| 520 | |a Methods: Provincial COVID-19 case data between June 24, 2020, and November 7, 2020, were aggregated by census dissemination area and linked with sociodemographic data from the Canadian 2016 census. Bayesian spatial Poisson regression models were used to examine the association between proportion of visible minorities, occupation types and COVID-19 infection. Models were adjusted for COVID-19 testing rates and other sociodemographic factors. Relative risk (RR) and 95% Credible Intervals (95% CrI) were calculated | ||
| 520 | |a Results: We found an inverse relationship between the proportion of the Chinese population and risk of COVID-19 infection (RR = 0.98 95% CrI = 0.96, 0.99), whereas an increased risk was observed for the proportions of the South Asian group (RR = 1.10, 95% CrI = 1.08, 1.12), and Other Visible Minority group (RR = 1.06, 95% CrI = 1.04, 1.08). Similarly, a higher proportion of frontline workers (RR = 1.05, 95% CrI = 1.04, 1.07) was associated with higher infection risk compared to non-frontline | ||
| 520 | |a Conclusion: Despite adjustments for testing, housing, occupation, and other social economic status variables, there is still a substantial association between the proportion of visible minorities, occupation types, and the risk of acquiring COVID-19 infection in British Columbia. This ecological analysis highlights the existing disparities in the burden of diseases among different visible minority populations and occupation types | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bayesian analysis | |
| 650 | 4 | |a COVID-19 pandemic | |
| 650 | 4 | |a epidemiology | |
| 650 | 4 | |a geospatial analysis and modeling | |
| 650 | 4 | |a health disparities | |
| 650 | 4 | |a social determinants of health | |
| 650 | 4 | |a visible minority groups | |
| 700 | 1 | |a Abdia, Younathan |e verfasserin |4 aut | |
| 700 | 1 | |a Ringa, Notice |e verfasserin |4 aut | |
| 700 | 1 | |a Clemens, Felicity |e verfasserin |4 aut | |
| 700 | 1 | |a Mak, Sunny |e verfasserin |4 aut | |
| 700 | 1 | |a Rose, Caren |e verfasserin |4 aut | |
| 700 | 1 | |a Janjua, Naveed Z |e verfasserin |4 aut | |
| 700 | 1 | |a Otterstatter, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Irvine, Michael A |e verfasserin |4 aut | |
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