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10.1371/journal.pone.0239886

http://scihub22266oqcxt.onion/10.1371/journal.pone.0239886
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33006990!7531838!33006990
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suck abstract from ncbi


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pmid33006990      PLoS+One 2020 ; 15 (10): e0239886
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  • Web and phone-based COVID-19 syndromic surveillance in Canada: A cross-sectional study #MMPMID33006990
  • Lapointe-Shaw L; Rader B; Astley CM; Hawkins JB; Bhatia D; Schatten WJ; Lee TC; Liu JJ; Ivers NM; Stall NM; Gournis E; Tuite AR; Fisman DN; Bogoch II; Brownstein JS
  • PLoS One 2020[]; 15 (10): e0239886 PMID33006990show ga
  • 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/Metis 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.
  • |*Sentinel Surveillance[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Testing[MESH]
  • |Canada/epidemiology[MESH]
  • |Clinical Laboratory Techniques/*statistics & numerical data[MESH]
  • |Coronavirus Infections/diagnosis/*epidemiology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Internet[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/diagnosis/*epidemiology[MESH]
  • |Prevalence[MESH]
  • |Self Report/*statistics & numerical data[MESH]


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