Investigation of Mixture Modelling Algorithms as a Tool for Determining the Statistical Likelihood of Serological Exposure to Filariasis Utilizing Historical Data from the Lymphatic Filariasis Surveillance Program in Vanuatu

As the prevalence of lymphatic filariasis declines, it becomes crucial to adequately eliminate residual areas of endemicity and implement surveillance. To this end, serological assays have been developed, including the Bm14 Filariasis CELISA which recommends a specific optical density cut-off level....

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Principais autores:	Hayley Joseph, Sarah Sullivan, Peter Wood, Wayne Melrose, Fasihah Taleo, Patricia Graves
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2019-03-01
coleção:	Tropical Medicine and Infectious Disease
Assuntos:	mixture modelling filariasis CELISA R statistics elimination surveillance serology Bm14
Acesso em linha:	http://www.mdpi.com/2414-6366/4/1/45
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