Estimating seroprevalence of SARS-CoV-2 antibodies using three self-reported symptoms: development of a prediction model based on data from Ischgl, Austria

We report the development of a regression model to predict the prevalence of severe acute respiratory syndrome coronavirus (SARS-CoV-2) antibodies on a population level based on self-reported symptoms. We assessed participant-reported symptoms in the past 12 weeks, as well as the presence of SARS-Co...

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Detalles Bibliográficos
Autores principales: Lehmann, Jens, Giesinger, Johannes M., Rumpold, Gerhard, Borena, Wegene, Knabl, Ludwig, Falkensammer, Barbara, Ower, Cornelia, Sacher, Magdalena, von Laer, Dorothee, Sperner-Unterweger, Barbara, Holzner, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Short Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925980/
https://www.ncbi.nlm.nih.gov/pubmed/33597049
http://dx.doi.org/10.1017/S0950268821000418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925980/
https://www.ncbi.nlm.nih.gov/pubmed/33597049
http://dx.doi.org/10.1017/S0950268821000418

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