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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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| Publicado no: | Epidemiol Infect |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cambridge University Press
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7925980/ https://ncbi.nlm.nih.gov/pubmed/33597049 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/S0950268821000418 |
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