Socius Sociological Research for a Dynamic World · 2020 · 27 citations · 3 references
Social SciencesDemographyInfectious DiseasesEpidemiologyHealth GeographyPopulation HealthDescriptive EpidemiologyDisease GeographyDisease MappingGeographic DistributionSpatial Disease MappingSpatial Distribution Of DiseaseAggregationBivariate Choropleth MapsChoropleth MapsDemographic CovariatesGeographic Data AggregationGeographic Morbidity PatternsMortality MappingUnequal Shares
Whereas African Americans are disproportionately among the coronavirus disease 2019 (COVID-19) pandemic’s sick and dead, less is known about whether some racial/ethnic groups are more likely to be affected in Canada. In this data visualization, the authors address two issues limiting understanding of the spatial and demographic distribution of the COVID-19 pandemic in Canada: (1) COVID-19 infection and death counts are collected at a very high level of geographic aggregation, and (2) these counts are not tallied by sociodemographic group, including race/ethnicity. The authors use a bivariate choropleth map to illustrate the correlation between COVID-19 infections and the percentage of residents who are Black across census subdivisions. Canada is more similar to the United States than expected in this respect: areas with higher shares of Black Canadians also see more infections.
3