Visualizing the Geographic and Demographic Distribution of Covid-19

Bibliographic Data

ID2423947
AuthorsP Denice (0000-0002-7997-8313, Western University, corresponding author), K H Choi (0000-0001-6885-6233, Western University), Michael Haan (0009-0002-7274-4618), A Zajacova (0000-0002-3880-6187, Western University)
Year2020
Volume6
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocius Sociological Research for a Dynamic World (JOURNAL)
Journal identifiersISSN: 2378-0231 • E-ISSN: 2378-0231
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/2378023120948715
OpenAlexW4242952859
LanguageEN
Citations received10
References cited3

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

2019-20 coronavirus outbreak · Bivariate analysis · Census · Coronavirus disease 2019 (COVID-19 · Disease · Distribution (mathematics · Ethnic group · Geography · Infectious disease (medical specialty · Outbreak · Pandemic · Population · Race (biology · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Sociology · Statistics · COVID-19 epidemiological studies · Demography · Health disparities and outcomes · Medicine · Racial and Ethnic Identity Research · Virology