Pooling of coronavirus tests under unknown prevalence.
Epidemiol Infect
; 148: e183, 2020 08 06.
Artículo
en Inglés
| MEDLINE | ID: covidwho-712761
ABSTRACT
Diagnostic testing for the novel coronavirus is an important tool to fight the coronavirus disease (Covid-19) pandemic. However, testing capacities are limited. A modified testing protocol, whereby a number of probes are 'pooled' (i.e. grouped), is known to increase the capacity for testing. Here, we model pooled testing with a double-average model, which we think to be close to reality for Covid-19 testing. The optimal pool size and the effect of test errors are considered. The results show that the best pool size is three to five, under reasonable assumptions. Pool testing even reduces the number of false positives in the absence of dilution effects.
Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Infecciones por Coronavirus
/
Técnicas de Laboratorio Clínico
/
Pandemias
Tipo de estudio:
Estudios diagnósticos
/
Estudio observacional
/
Estudio pronóstico
Límite:
Humanos
Idioma:
Inglés
Revista:
Epidemiol Infect
Asunto de la revista:
Enfermedades Transmisibles
/
Epidemiología
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
S0950268820001752
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