Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study

Abstract Background By mid-July 2020, more than 108,000 COVID-19 cases had been diagnosed in Canada with more than half in the province of Quebec. In this context, we launched a study to analyze the epidemiological characteristics and the socio-economic impact of the spring outbreak in the populatio...

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Main Authors: Rodolphe Jantzen, Nolwenn Noisel, Sophie Camilleri-Broët, Catherine Labbé, Thibault de Malliard, Yves Payette, Philippe Broët
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Infectious Diseases
Subjects:
Online Access:https://doi.org/10.1186/s12879-021-06002-0
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spelling doaj-5d5dad3e097f4b7d9b5c1a9ef9db14272021-05-11T14:47:03ZengBMCBMC Infectious Diseases1471-23342021-05-0121111310.1186/s12879-021-06002-0Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based studyRodolphe Jantzen0Nolwenn Noisel1Sophie Camilleri-Broët2Catherine Labbé3Thibault de Malliard4Yves Payette5Philippe Broët6CARTaGENE, CHU Ste-Justine Research CenterCARTaGENE, CHU Ste-Justine Research CenterMcGill UniversityCARTaGENE, CHU Ste-Justine Research CenterCARTaGENE, CHU Ste-Justine Research CenterCARTaGENE, CHU Ste-Justine Research CenterCARTaGENE, CHU Ste-Justine Research CenterAbstract Background By mid-July 2020, more than 108,000 COVID-19 cases had been diagnosed in Canada with more than half in the province of Quebec. In this context, we launched a study to analyze the epidemiological characteristics and the socio-economic impact of the spring outbreak in the population. Method We conducted an online survey of the participants of the CARTaGENE population-based cohort, composed of middle-aged and older adults. We collected information on socio-demographic, lifestyle, health condition, COVID-19 related symptoms and COVID-19 testing. We studied the association between these factors and two outcomes: the status of having been tested for SARS-CoV-2 and the status of having received a positive test. These associations were measured with univariate and multivariate analyses using a hybrid tree-based regression model. Results Among the 8,129 respondents from the CARTaGENE cohort, 649 were tested for COVID-19 and 41 were positive. Medical workers and individuals having a contact with a COVID-19 patient had the highest probabilities of being tested (32% and 42.4%, respectively) and of being positive (17.2% and 13.0%, respectively) among those tested. Approximately 8% of the participants declared that they have experienced at least one of the four COVID-19 related symptoms chosen by the Public Health authorities (fever, cough, dyspnea, anosmia) but were not tested. Results from the tree-based model analyses adjusted on exposure factors showed that the combination of dyspnea, dry cough and fever was highly associated with being tested whereas anosmia, fever, and headache were the most discriminant factors for having a positive test among those tested. During the spring outbreak, more than one third of the participants have experienced a decrease in access to health services. There were gender and age differences in the socio-economic and emotional impacts of the pandemic. Conclusion We have shown some discrepancies between the symptoms associated with being tested and being positive. In particular, the anosmia is a major discriminant symptom for positivity whereas ear-nose-throat symptoms seem not to be COVID-19 related. The results also emphasize the need of increasing the accessibility of testing for the general population.https://doi.org/10.1186/s12879-021-06002-0COVID-19CoronavirusSARS-CoV-2PandemicSocial factorsTree-based model
collection DOAJ
language English
format Article
sources DOAJ
author Rodolphe Jantzen
Nolwenn Noisel
Sophie Camilleri-Broët
Catherine Labbé
Thibault de Malliard
Yves Payette
Philippe Broët
spellingShingle Rodolphe Jantzen
Nolwenn Noisel
Sophie Camilleri-Broët
Catherine Labbé
Thibault de Malliard
Yves Payette
Philippe Broët
Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
BMC Infectious Diseases
COVID-19
Coronavirus
SARS-CoV-2
Pandemic
Social factors
Tree-based model
author_facet Rodolphe Jantzen
Nolwenn Noisel
Sophie Camilleri-Broët
Catherine Labbé
Thibault de Malliard
Yves Payette
Philippe Broët
author_sort Rodolphe Jantzen
title Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
title_short Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
title_full Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
title_fullStr Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
title_full_unstemmed Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
title_sort epidemiological characteristics of the covid-19 spring outbreak in quebec, canada: a population-based study
publisher BMC
series BMC Infectious Diseases
issn 1471-2334
publishDate 2021-05-01
description Abstract Background By mid-July 2020, more than 108,000 COVID-19 cases had been diagnosed in Canada with more than half in the province of Quebec. In this context, we launched a study to analyze the epidemiological characteristics and the socio-economic impact of the spring outbreak in the population. Method We conducted an online survey of the participants of the CARTaGENE population-based cohort, composed of middle-aged and older adults. We collected information on socio-demographic, lifestyle, health condition, COVID-19 related symptoms and COVID-19 testing. We studied the association between these factors and two outcomes: the status of having been tested for SARS-CoV-2 and the status of having received a positive test. These associations were measured with univariate and multivariate analyses using a hybrid tree-based regression model. Results Among the 8,129 respondents from the CARTaGENE cohort, 649 were tested for COVID-19 and 41 were positive. Medical workers and individuals having a contact with a COVID-19 patient had the highest probabilities of being tested (32% and 42.4%, respectively) and of being positive (17.2% and 13.0%, respectively) among those tested. Approximately 8% of the participants declared that they have experienced at least one of the four COVID-19 related symptoms chosen by the Public Health authorities (fever, cough, dyspnea, anosmia) but were not tested. Results from the tree-based model analyses adjusted on exposure factors showed that the combination of dyspnea, dry cough and fever was highly associated with being tested whereas anosmia, fever, and headache were the most discriminant factors for having a positive test among those tested. During the spring outbreak, more than one third of the participants have experienced a decrease in access to health services. There were gender and age differences in the socio-economic and emotional impacts of the pandemic. Conclusion We have shown some discrepancies between the symptoms associated with being tested and being positive. In particular, the anosmia is a major discriminant symptom for positivity whereas ear-nose-throat symptoms seem not to be COVID-19 related. The results also emphasize the need of increasing the accessibility of testing for the general population.
topic COVID-19
Coronavirus
SARS-CoV-2
Pandemic
Social factors
Tree-based model
url https://doi.org/10.1186/s12879-021-06002-0
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