Is the Unequal COVID-19 Burden in Canada Due to Unequal Levels of Citizen Discipline across Provinces?
Related Experiment Video
Updated: Aug 30, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Jean-François Daoust1, Éric Bélanger2, Ruth Dassonneville3
1Politics and International Relations, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Abstract:
The unequal burden of the coronavirus disease 2019 (COVID-19) crisis (e.g., in terms of infection and death rates) across Canadian provinces is important and puzzling. Some have speculated that differences in levels of citizen compliance with public health preventive measures are central to understanding cross-provincial differences in pandemic-related health outcomes. However, no systematic empirical test of this hypothesis has been conducted. In this research, we make use of an exceptionally large dataset that includes 23 survey waves (N = 22,610) fielded in Canada across 12 months (April 2020-April 2021) to answer the question "Is there evidence of substantial cross-provincial differences in citizen compliance with basic public health measures designed to prevent the spread of infection?" We find that regional differences in self-reported behaviour are few and very modest, suggesting that interprovincial differences in COVID-19-related health outcomes have little to do with differences in citizen compliance, at least in the first year of the pandemic. These results have important implications. Although it is crucial that we continue to study regional variations related to the COVID-19 burden, public health agency officials, pundits, and politicians should be cautious when musing about the role of citizen compliance as the primary explanation of interprovincial pandemic health outcomes.
Related Concept Videos
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
Bias in Epidemiological Studies
Types of Skewness
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
Confounding in Epidemiological Studies
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Principles of Disease Surveillance

