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

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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Bibliographic Details
Main Authors: Hayley Joseph, Sarah Sullivan, Peter Wood, Wayne Melrose, Fasihah Taleo, Patricia Graves
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Tropical Medicine and Infectious Disease
Subjects:
mixture modelling
filariasis
CELISA
R statistics
elimination
surveillance
serology
Bm14
Online Access:http://www.mdpi.com/2414-6366/4/1/45

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