| Autor: |
Lauren Lapointe-Shaw, Nathan M. Stall, Benjamin Rader, Effie Gournis, Jared B. Hawkins, Todd C. Lee, David N. Fisman, Christina M Astley, Ashleigh R. Tuite, Isaac I. Bogoch, Deepit Bhatia, Noah Ivers, William J. Schatten, John S. Brownstein, Jessica Liu |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| DOI: |
10.1101/2020.05.19.20107391 |
| Popis: |
BackgroundSyndromic 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.MethodsData sources consisted of two 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.ResultsWe found that 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 over March-April 2020. 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.InterpretationThe 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 current SARS-CoV-2 testing rates. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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