Self-reported symptoms as predictors of SARS-CoV-2 infection in the general population living in the Amsterdam region, the Netherlands.

Introduction Most COVID-19 symptoms are non-specific and also common in other respiratory infections. We aimed to assess which symptoms are most predictive of a positive test for SARS-CoV-2 in symptomatic people of the general population who were tested. Methods We used anonymised data of all SARS-CoV-2 test results from the Public Health Service of Amsterdam from June 1,2020 through August 31, 2021. Symptoms were self-reported at time of requesting a test. Multivariable logistic regression models with generalized estimating equations were used to identify predictors of a positive test. Includ... Mehr ...

Verfasser: Jizzo R Bosdriesz
Feiko Ritsema
Tjalling Leenstra
Mariska W F Petrignani
Sylvia M Bruisten
Liza Coyer
Anja J M Schreijer
Yvonne T H P van Duijnhoven
Maarten F Schim van der Loeff
Amy A Matser
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: PLoS ONE, Vol 17, Iss 1, p e0262287 (2022)
Verlag/Hrsg.: Public Library of Science (PLoS)
Schlagwörter: Medicine / R / Science / Q
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26802514
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1371/journal.pone.0262287