Document Type

Article

Publication Date

3-25-2021

Publication Title

Disaster Medicine and Public Health Preparedness

DOI

https://doi.org/10.1017/dmp.2021.78

ISSN

1938-744X

Abstract

Objective:

This study aimed to investigate coronavirus disease (COVID-19) epidemiology in Alberta, British Columbia, and Ontario, Canada.

Methods:

Using data through December 1, 2020, we estimated time-varying reproduction number, R t , using EpiEstim package in R, and calculated incidence rate ratios (IRR) across the 3 provinces.

Results:

In Ontario, 76% (92 745/121 745) of cases were in Toronto, Peel, York, Ottawa, and Durham; in Alberta, 82% (49 878/61 169) in Calgary and Edmonton; in British Columbia, 90% (31 142/34 699) in Fraser and Vancouver Coastal. Across 3 provinces, R t dropped to ≤ 1 after April. In Ontario, R t would remain < 1 in April if congregate-setting-associated cases were excluded. Over summer, R t maintained < 1 in Ontario, ~1 in British Columbia, and ~1 in Alberta, except early July when R t was > 1. In all 3 provinces, R t was > 1, reflecting surges in case count from September through November. Compared with British Columbia (684.2 cases per 100 000), Alberta (IRR = 2.0; 1399.3 cases per 100 000) and Ontario (IRR = 1.2; 835.8 cases per 100 000) had a higher cumulative case count per 100 000 population.

Conclusions:

Alberta and Ontario had a higher incidence rate than British Columbia, but R t trajectories were similar across all 3 provinces.

Comments

Creative Common License - CCCreative Common License - BY

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

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