Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study

Background Syndromic surveillance through web or phone-based polling has been used to track the course of infectious diseases worldwide. Our study objective was to describe the characteristics, symptoms, and self-reported testing rates of respondents in three different COVID-19 symptom surveys in Ca...

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Main Authors: Lauren Lapointe-Shaw, Benjamin Rader, Christina M. Astley, Jared B. Hawkins, Deepit Bhatia, William J. Schatten, Todd C. Lee, Jessica J. Liu, Noah M. Ivers, Nathan M. Stall, Effie Gournis, Ashleigh R. Tuite, David N. Fisman, Isaac I. Bogoch, John S. Brownstein, Francesco Di Gennaro
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2020
Subjects:
R
Q
Online Access:https://doaj.org/article/32ef973853bd46f3a5826d71a0ea6322
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spelling ftdoajarticles:oai:doaj.org/article:32ef973853bd46f3a5826d71a0ea6322 2023-05-15T16:16:50+02:00 Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study Lauren Lapointe-Shaw Benjamin Rader Christina M. Astley Jared B. Hawkins Deepit Bhatia William J. Schatten Todd C. Lee Jessica J. Liu Noah M. Ivers Nathan M. Stall Effie Gournis Ashleigh R. Tuite David N. Fisman Isaac I. Bogoch John S. Brownstein Francesco Di Gennaro 2020-01-01T00:00:00Z https://doaj.org/article/32ef973853bd46f3a5826d71a0ea6322 EN eng Public Library of Science (PLoS) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531838/?tool=EBI https://doaj.org/toc/1932-6203 1932-6203 https://doaj.org/article/32ef973853bd46f3a5826d71a0ea6322 PLoS ONE, Vol 15, Iss 10 (2020) Medicine R Science Q article 2020 ftdoajarticles 2022-12-31T03:06:57Z Background Syndromic surveillance through web or phone-based polling has been used to track the course of infectious diseases worldwide. Our study objective was to describe the characteristics, symptoms, and self-reported testing rates of respondents in three different COVID-19 symptom surveys in Canada. Methods This was a cross-sectional study using three distinct Canada-wide web-based surveys, and phone polling in Ontario. All three sources contained self-reported information on COVID-19 symptoms and testing. In addition to describing respondent characteristics, we examined symptom frequency and the testing rate among the symptomatic, as well as rates of symptoms and testing across respondent groups. Results We found that over March- April 2020, 1.6% of respondents experienced a symptom on the day of their survey, 15% of Ontario households had a symptom in the previous week, and 44% of Canada-wide respondents had a symptom in the previous month. Across the three surveys, SARS-CoV-2-testing was reported in 2–9% of symptomatic responses. Women, younger and middle-aged adults (versus older adults) and Indigenous/First nations/Inuit/Métis were more likely to report at least one symptom, and visible minorities were more likely to report the combination of fever with cough or shortness of breath. Interpretation The low rate of testing among those reporting symptoms suggests significant opportunity to expand testing among community-dwelling residents of Canada. Syndromic surveillance data can supplement public health reports and provide much-needed context to gauge the adequacy of SARS-CoV-2 testing rates. Article in Journal/Newspaper First Nations inuit Directory of Open Access Journals: DOAJ Articles Canada
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Lauren Lapointe-Shaw
Benjamin Rader
Christina M. Astley
Jared B. Hawkins
Deepit Bhatia
William J. Schatten
Todd C. Lee
Jessica J. Liu
Noah M. Ivers
Nathan M. Stall
Effie Gournis
Ashleigh R. Tuite
David N. Fisman
Isaac I. Bogoch
John S. Brownstein
Francesco Di Gennaro
Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study
topic_facet Medicine
R
Science
Q
description Background Syndromic surveillance through web or phone-based polling has been used to track the course of infectious diseases worldwide. Our study objective was to describe the characteristics, symptoms, and self-reported testing rates of respondents in three different COVID-19 symptom surveys in Canada. Methods This was a cross-sectional study using three distinct Canada-wide web-based surveys, and phone polling in Ontario. All three sources contained self-reported information on COVID-19 symptoms and testing. In addition to describing respondent characteristics, we examined symptom frequency and the testing rate among the symptomatic, as well as rates of symptoms and testing across respondent groups. Results We found that over March- April 2020, 1.6% of respondents experienced a symptom on the day of their survey, 15% of Ontario households had a symptom in the previous week, and 44% of Canada-wide respondents had a symptom in the previous month. Across the three surveys, SARS-CoV-2-testing was reported in 2–9% of symptomatic responses. Women, younger and middle-aged adults (versus older adults) and Indigenous/First nations/Inuit/Métis were more likely to report at least one symptom, and visible minorities were more likely to report the combination of fever with cough or shortness of breath. Interpretation The low rate of testing among those reporting symptoms suggests significant opportunity to expand testing among community-dwelling residents of Canada. Syndromic surveillance data can supplement public health reports and provide much-needed context to gauge the adequacy of SARS-CoV-2 testing rates.
format Article in Journal/Newspaper
author Lauren Lapointe-Shaw
Benjamin Rader
Christina M. Astley
Jared B. Hawkins
Deepit Bhatia
William J. Schatten
Todd C. Lee
Jessica J. Liu
Noah M. Ivers
Nathan M. Stall
Effie Gournis
Ashleigh R. Tuite
David N. Fisman
Isaac I. Bogoch
John S. Brownstein
Francesco Di Gennaro
author_facet Lauren Lapointe-Shaw
Benjamin Rader
Christina M. Astley
Jared B. Hawkins
Deepit Bhatia
William J. Schatten
Todd C. Lee
Jessica J. Liu
Noah M. Ivers
Nathan M. Stall
Effie Gournis
Ashleigh R. Tuite
David N. Fisman
Isaac I. Bogoch
John S. Brownstein
Francesco Di Gennaro
author_sort Lauren Lapointe-Shaw
title Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study
title_short Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study
title_full Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study
title_fullStr Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study
title_full_unstemmed Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study
title_sort web and phone-based covid-19 syndromic surveillance in canada: a cross-sectional study
publisher Public Library of Science (PLoS)
publishDate 2020
url https://doaj.org/article/32ef973853bd46f3a5826d71a0ea6322
geographic Canada
geographic_facet Canada
genre First Nations
inuit
genre_facet First Nations
inuit
op_source PLoS ONE, Vol 15, Iss 10 (2020)
op_relation https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531838/?tool=EBI
https://doaj.org/toc/1932-6203
1932-6203
https://doaj.org/article/32ef973853bd46f3a5826d71a0ea6322
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