Risk factors associated with the incidence of self-reported COVID-19-like illness: data from a web-based syndromic surveillance system in the Netherlands

Abstract During the first wave of the severe acute respiratory syndrome-coronavirus-2 epidemic in the Netherlands, notifications consisted mostly of patients with relatively severe disease. To enable real-time monitoring of the incidence of mild coronavirus disease 2019 (COVID-19) – for which medical consultation might not be required – the Infectieradar web-based syndromic surveillance system was launched in mid-March 2020. Our aim was to quantify associations between Infectieradar participant characteristics and the incidence of self-reported COVID-19-like illness. Recruitment for this cohor... Mehr ...

Verfasser: McDonald, Scott A.
van den Wijngaard, Cees C.
Wielders, Cornelia C. H.
Friesema, Ingrid H. M.
Soetens, Loes
Paolotti, Daniela
van den Hof, Susan
van Hoek, Albert Jan
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Epidemiology and Infection ; volume 149 ; ISSN 0950-2688 1469-4409
Verlag/Hrsg.: Cambridge University Press (CUP)
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29220691
Datenquelle: BASE; Originalkatalog
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Link(s) : http://dx.doi.org/10.1017/s0950268821001187