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 C...

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Published in:PLOS ONE
Main Authors: Lapointe-Shaw, Lauren, Rader, Benjamin, Astley, Christina M., Hawkins, Jared B., Bhatia, Deepit, Schatten, William J., Lee, Todd C., Liu, Jessica J., Ivers, Noah M., Stall, Nathan M., Gournis, Effie, Tuite, Ashleigh R., Fisman, David N., Bogoch, Isaac I., Brownstein, John S.
Format: Text
Language:English
Published: Public Library of Science 2020
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531838/
http://www.ncbi.nlm.nih.gov/pubmed/33006990
https://doi.org/10.1371/journal.pone.0239886
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7531838 2023-05-15T16:16:52+02:00 Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study Lapointe-Shaw, Lauren Rader, Benjamin Astley, Christina M. Hawkins, Jared B. Bhatia, Deepit Schatten, William J. Lee, Todd C. Liu, Jessica J. Ivers, Noah M. Stall, Nathan M. Gournis, Effie Tuite, Ashleigh R. Fisman, David N. Bogoch, Isaac I. Brownstein, John S. 2020-10-02 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531838/ http://www.ncbi.nlm.nih.gov/pubmed/33006990 https://doi.org/10.1371/journal.pone.0239886 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531838/ http://www.ncbi.nlm.nih.gov/pubmed/33006990 http://dx.doi.org/10.1371/journal.pone.0239886 © 2020 Lapointe-Shaw et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY PLoS One Research Article Text 2020 ftpubmed https://doi.org/10.1371/journal.pone.0239886 2020-10-11T00:27:56Z 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. Text First Nations inuit PubMed Central (PMC) Canada PLOS ONE 15 10 e0239886
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Lapointe-Shaw, Lauren
Rader, Benjamin
Astley, Christina M.
Hawkins, Jared B.
Bhatia, Deepit
Schatten, William J.
Lee, Todd C.
Liu, Jessica J.
Ivers, Noah M.
Stall, Nathan M.
Gournis, Effie
Tuite, Ashleigh R.
Fisman, David N.
Bogoch, Isaac I.
Brownstein, John S.
Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study
topic_facet Research Article
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 Text
author Lapointe-Shaw, Lauren
Rader, Benjamin
Astley, Christina M.
Hawkins, Jared B.
Bhatia, Deepit
Schatten, William J.
Lee, Todd C.
Liu, Jessica J.
Ivers, Noah M.
Stall, Nathan M.
Gournis, Effie
Tuite, Ashleigh R.
Fisman, David N.
Bogoch, Isaac I.
Brownstein, John S.
author_facet Lapointe-Shaw, Lauren
Rader, Benjamin
Astley, Christina M.
Hawkins, Jared B.
Bhatia, Deepit
Schatten, William J.
Lee, Todd C.
Liu, Jessica J.
Ivers, Noah M.
Stall, Nathan M.
Gournis, Effie
Tuite, Ashleigh R.
Fisman, David N.
Bogoch, Isaac I.
Brownstein, John S.
author_sort Lapointe-Shaw, Lauren
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
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531838/
http://www.ncbi.nlm.nih.gov/pubmed/33006990
https://doi.org/10.1371/journal.pone.0239886
geographic Canada
geographic_facet Canada
genre First Nations
inuit
genre_facet First Nations
inuit
op_source PLoS One
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531838/
http://www.ncbi.nlm.nih.gov/pubmed/33006990
http://dx.doi.org/10.1371/journal.pone.0239886
op_rights © 2020 Lapointe-Shaw et al
http://creativecommons.org/licenses/by/4.0/
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1371/journal.pone.0239886
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