The relationship between higher rates of COVID-19 and infrastructure on First Nations Reserves in Manitoba
| dc.contributor.author | Adegun, Ajarat | |
| dc.contributor.examiningcommittee | Lix, Lisa (Community Health Sciences) | en_US |
| dc.contributor.examiningcommittee | Ballard, Myrle (Chemistry) | en_US |
| dc.contributor.supervisor | Thompson, Shirley | |
| dc.date.accessioned | 2023-04-25T16:15:14Z | |
| dc.date.available | 2023-04-25T16:15:14Z | |
| dc.date.copyright | 2023-03-30 | |
| dc.date.issued | 2023-03-30 | |
| dc.date.submitted | 2023-03-30T21:16:27Z | en_US |
| dc.degree.discipline | Natural Resources Institute | en_US |
| dc.degree.level | Master of Natural Resources Management (M.N.R.M.) | en_US |
| dc.description.abstract | In this study, I conducted an ecological analysis at the community level to examine the association between COVID-19 case rates and socioeconomic with infrastructure characteristics in 22 First Nations and 27 non-First Nations communities in Manitoba. I analyzed the association between COVID-19 case rates and socioeconomic variables using linear (bivariate and multivariate) regression and spatial analyses. The data on COVID-19 rates up to June 01, 2021, was obtained from the Government of Manitoba public COVID-19 data portal. The infrastructure and socioeconomic data were obtained from publicly available datasets, including the 2021 Statistics Canada population census database, the Government of Canada database on Indigenous peoples and communities, Government of Manitoba Regional Health Authorities. Information on the geographical coordinates of the communities was from the Canadian Geographical Names Database (CGNDB). The simple linear regression showed COVID-19 case rates in Manitoba were significantly associated with the community rates for (a) unsuitable housing (standardized regression coefficient [β] = 0.65, coefficient of determination [R2]= 0.42, p < 0.05), (b) average household size (β = 0.60, R2 = 0.36, p < 0.05), (c) major repairs in housing needed (β = 0.55, R2 = 0.30, p < 0.05), (d) access to a service centre (β = - 0.45, R2 = 0.21, p < 0.05), (e) proximity to a hospital (β = - 0.56, R2 = 0.31, p < 0.05), (f) median after-tax income (β = - 0.50, R2 = 0.25, p < 0.05), and (g) college degree or higher (β = - 0.47, R2 = 0.22, p < 0.05). There was no significant association between COVID-19 rates and high school degree ((β = - 0.45, R2 = 0.21, not significant). Unsuitable housing was the only statistically significant variable in the multivariate regression (β = 1.59, p < 0.05), and the multivariate model accounted for 58% of the variance observed in the COVID-19 rates. The maps showed that First Nations in northern Manitoba suffered the most from high COVID-19 rates. Pandemic interventions and post-pandemic policies should ensure every community has adequate standard housing, equal access to hospitals, basic income, educational opportunities and road access, particularly in First Nations. | en_US |
| dc.description.note | May 2023 | en_US |
| dc.description.sponsorship | Mino Bimaadiziwin | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/37291 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | infrastructure | en_US |
| dc.subject | Indigenous communities | en_US |
| dc.subject | First Nations | en_US |
| dc.subject | Health equity | en_US |
| dc.title | The relationship between higher rates of COVID-19 and infrastructure on First Nations Reserves in Manitoba | en_US |
| dc.type | master thesis | en_US |
| local.subject.manitoba | yes | en_US |