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Probabilistic classification of anti‐SARS‐CoV‐2 antibody responses improves seroprevalence estimates
OBJECTIVES: Population‐level measures of seropositivity are critical for understanding the epidemiology of an emerging pathogen, yet most antibody tests apply a strict cutoff for seropositivity that is not learnt in a data‐driven manner, leading to uncertainty when classifying low‐titer responses. T...
Autores principales: | Castro Dopico, Xaquin, Muschiol, Sandra, Grinberg, Nastasiya F, Aleman, Soo, Sheward, Daniel J, Hanke, Leo, Ahl, Marcus, Vikström, Linnea, Forsell, Mattias, Coquet, Jonathan M, McInerney, Gerald, Dillner, Joakim, Bogdanovic, Gordana, Murrell, Ben, Albert, Jan, Wallace, Chris, Karlsson Hedestam, Gunilla B |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891432/ https://www.ncbi.nlm.nih.gov/pubmed/35284072 http://dx.doi.org/10.1002/cti2.1379 |
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