Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios

While surveillance can identify changes in COVID-19 transmission patterns over time and space, sections of the population at risk, and the efficacy of public health measures, reported cases of COVID-19 are generally understood to only capture a subset of the actual number of cases. Our primary objec...

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Published in:Infectious Disease Modelling
Main Authors: Brendan P. Dougherty, Ben A. Smith, Carolee A. Carson, Nicholas H. Ogden
Format: Article in Journal/Newspaper
Language:English
Published: KeAi Communications Co., Ltd. 2021
Subjects:
Online Access:https://doi.org/10.1016/j.idm.2020.11.008
https://doaj.org/article/d9c97b7656304257b66eb7aebb2a2a43
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spelling ftdoajarticles:oai:doaj.org/article:d9c97b7656304257b66eb7aebb2a2a43 2024-09-15T18:20:21+00:00 Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios Brendan P. Dougherty Ben A. Smith Carolee A. Carson Nicholas H. Ogden 2021-01-01T00:00:00Z https://doi.org/10.1016/j.idm.2020.11.008 https://doaj.org/article/d9c97b7656304257b66eb7aebb2a2a43 EN eng KeAi Communications Co., Ltd. http://www.sciencedirect.com/science/article/pii/S2468042720301044 https://doaj.org/toc/2468-0427 2468-0427 doi:10.1016/j.idm.2020.11.008 https://doaj.org/article/d9c97b7656304257b66eb7aebb2a2a43 Infectious Disease Modelling, Vol 6, Iss , Pp 123-132 (2021) SARS-CoV-2 Underestimation Coronavirus disease Long term care facilities Case fatality ratio Infectious and parasitic diseases RC109-216 article 2021 ftdoajarticles https://doi.org/10.1016/j.idm.2020.11.008 2024-08-05T17:49:31Z While surveillance can identify changes in COVID-19 transmission patterns over time and space, sections of the population at risk, and the efficacy of public health measures, reported cases of COVID-19 are generally understood to only capture a subset of the actual number of cases. Our primary objective was to estimate the percentage of cases reported in the general community, considered as those that occurred outside of long-term care facilities (LTCFs), in specific provinces and Canada as a whole. We applied a methodology using the delay-adjusted case fatality ratio (CFR) to all cases and deaths, as well as those representing the general community. Our second objective was to assess whether the assumed CFR (mean = 1.38%) was appropriate for calculating underestimation of cases in Canada. Estimates were developed for the period from March 11th, 2020 to September 16th, 2020. Estimates of the percentage of cases reported (PrCR) and CFR varied spatially and temporally across Canada. For the majority of provinces, and for Canada as a whole, the PrCR increased through the early stages of the pandemic. The estimated PrCR in general community settings for all of Canada increased from 18.1% to 69.0% throughout the entire study period. Estimates were greater when considering only those data from outside of LTCFs. The estimated upper bound CFR in general community settings for all of Canada decreased from 9.07% on March 11th, 2020 to 2.00% on September 16th, 2020. Therefore, the true CFR in the general community in Canada was likely less than 2% on September 16th. According to our analysis, some provinces, such as Alberta, Manitoba, Newfoundland and Labrador, Nova Scotia, and Saskatchewan reported a greater percentage of cases as of September 16th, compared to British Columbia, Ontario, and Québec. This could be due to differences in testing rates and criteria, demographics, socioeconomic factors, race, and access to healthcare among the provinces. Further investigation into these factors could reveal differences among ... Article in Journal/Newspaper Newfoundland Directory of Open Access Journals: DOAJ Articles Infectious Disease Modelling 6 123 132
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic SARS-CoV-2
Underestimation
Coronavirus disease
Long term care facilities
Case fatality ratio
Infectious and parasitic diseases
RC109-216
spellingShingle SARS-CoV-2
Underestimation
Coronavirus disease
Long term care facilities
Case fatality ratio
Infectious and parasitic diseases
RC109-216
Brendan P. Dougherty
Ben A. Smith
Carolee A. Carson
Nicholas H. Ogden
Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios
topic_facet SARS-CoV-2
Underestimation
Coronavirus disease
Long term care facilities
Case fatality ratio
Infectious and parasitic diseases
RC109-216
description While surveillance can identify changes in COVID-19 transmission patterns over time and space, sections of the population at risk, and the efficacy of public health measures, reported cases of COVID-19 are generally understood to only capture a subset of the actual number of cases. Our primary objective was to estimate the percentage of cases reported in the general community, considered as those that occurred outside of long-term care facilities (LTCFs), in specific provinces and Canada as a whole. We applied a methodology using the delay-adjusted case fatality ratio (CFR) to all cases and deaths, as well as those representing the general community. Our second objective was to assess whether the assumed CFR (mean = 1.38%) was appropriate for calculating underestimation of cases in Canada. Estimates were developed for the period from March 11th, 2020 to September 16th, 2020. Estimates of the percentage of cases reported (PrCR) and CFR varied spatially and temporally across Canada. For the majority of provinces, and for Canada as a whole, the PrCR increased through the early stages of the pandemic. The estimated PrCR in general community settings for all of Canada increased from 18.1% to 69.0% throughout the entire study period. Estimates were greater when considering only those data from outside of LTCFs. The estimated upper bound CFR in general community settings for all of Canada decreased from 9.07% on March 11th, 2020 to 2.00% on September 16th, 2020. Therefore, the true CFR in the general community in Canada was likely less than 2% on September 16th. According to our analysis, some provinces, such as Alberta, Manitoba, Newfoundland and Labrador, Nova Scotia, and Saskatchewan reported a greater percentage of cases as of September 16th, compared to British Columbia, Ontario, and Québec. This could be due to differences in testing rates and criteria, demographics, socioeconomic factors, race, and access to healthcare among the provinces. Further investigation into these factors could reveal differences among ...
format Article in Journal/Newspaper
author Brendan P. Dougherty
Ben A. Smith
Carolee A. Carson
Nicholas H. Ogden
author_facet Brendan P. Dougherty
Ben A. Smith
Carolee A. Carson
Nicholas H. Ogden
author_sort Brendan P. Dougherty
title Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios
title_short Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios
title_full Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios
title_fullStr Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios
title_full_unstemmed Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios
title_sort exploring the percentage of covid-19 cases reported in the community in canada and associated case fatality ratios
publisher KeAi Communications Co., Ltd.
publishDate 2021
url https://doi.org/10.1016/j.idm.2020.11.008
https://doaj.org/article/d9c97b7656304257b66eb7aebb2a2a43
genre Newfoundland
genre_facet Newfoundland
op_source Infectious Disease Modelling, Vol 6, Iss , Pp 123-132 (2021)
op_relation http://www.sciencedirect.com/science/article/pii/S2468042720301044
https://doaj.org/toc/2468-0427
2468-0427
doi:10.1016/j.idm.2020.11.008
https://doaj.org/article/d9c97b7656304257b66eb7aebb2a2a43
op_doi https://doi.org/10.1016/j.idm.2020.11.008
container_title Infectious Disease Modelling
container_volume 6
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