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Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna.
Munsch, Nicolas; Gruarin, Stefanie; Nateqi, Jama; Lutz, Thomas; Binder, Michael; Aberle, Judith H; Martin, Alistair; Knapp, Bernhard.
  • Munsch N; Science Department, Symptoma GmbH, Vienna, Austria.
  • Gruarin S; Science Department, Symptoma GmbH, Salzburg, Austria.
  • Nateqi J; Science Department, Symptoma GmbH, Salzburg, Austria.
  • Lutz T; Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria.
  • Binder M; Science Department, Symptoma GmbH, Salzburg, Austria.
  • Aberle JH; Vienna Health Care Company, Vienna, Austria.
  • Martin A; Center for Virology, Medical University of Vienna, Vienna, Austria.
  • Knapp B; Science Department, Symptoma GmbH, Vienna, Austria.
Wien Klin Wochenschr ; 134(9-10): 344-350, 2022 May.
Article in English | MEDLINE | ID: covidwho-1787820
ABSTRACT

BACKGROUND:

Most clinical studies report the symptoms experienced by those infected with coronavirus disease 2019 (COVID-19) via patients already hospitalized. Here we analyzed the symptoms experienced outside of a hospital setting.

METHODS:

The Vienna Social Fund (FSW; Vienna, Austria), the Public Health Services of the City of Vienna (MA15) and the private company Symptoma collaborated to implement Vienna's official online COVID-19 symptom checker. Users answered 12 yes/no questions about symptoms to assess their risk for COVID-19. They could also specify their age and sex, and whether they had contact with someone who tested positive for COVID-19. Depending on the assessed risk of COVID-19 positivity, a SARS-CoV­2 nucleic acid amplification test (NAAT) was performed. In this publication, we analyzed which factors (symptoms, sex or age) are associated with COVID-19 positivity. We also trained a classifier to correctly predict COVID-19 positivity from the collected data.

RESULTS:

Between 2 November 2020 and 18 November 2021, 9133 people experiencing COVID-19-like symptoms were assessed as high risk by the chatbot and were subsequently tested by a NAAT. Symptoms significantly associated with a positive COVID-19 test were malaise, fatigue, headache, cough, fever, dysgeusia and hyposmia. Our classifier could successfully predict COVID-19 positivity with an area under the curve (AUC) of 0.74.

CONCLUSION:

This study provides reliable COVID-19 symptom statistics based on the general population verified by NAATs.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Wien Klin Wochenschr Year: 2022 Document Type: Article Affiliation country: S00508-022-02028-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Wien Klin Wochenschr Year: 2022 Document Type: Article Affiliation country: S00508-022-02028-9