Optimizing Pooled Testing for Estimating the Prevalence of Multiple Diseases

Pooled testing can enhance the efficiency of diagnosing individuals with diseases of low prevalence. Often, pooling is implemented using standard groupings (2, 5, 10, etc.). On the other hand, optimization theory can provide specific guidelines in finding the ideal pool size and pooling strategy. Th...

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Detalles Bibliográficos
Autores principales: Warasi, Md S., Hungerford, Laura L., Lahmers, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373899/
https://www.ncbi.nlm.nih.gov/pubmed/35975123
http://dx.doi.org/10.1007/s13253-022-00511-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373899/
https://www.ncbi.nlm.nih.gov/pubmed/35975123
http://dx.doi.org/10.1007/s13253-022-00511-4

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