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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Article
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

Internet

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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