Using cluster analysis to reconstruct dengue exposure patterns from cross-sectional serological studies in Singapore.

ABSTRACT:

Background

Dengue is a mosquito-borne viral disease caused by one of four serotypes (DENV1-4). Infection provides long-term homologous immunity against reinfection with the same serotype. Plaque reduction neutralization test (PRNT) is the gold standard to assess serotype-specific antibody levels. We analysed serotype-specific antibody levels obtained by PRNT in two serological surveys conducted in Singapore in 2009 and 2013 using cluster analysis, a machine learning technique that was used to identify the most common histories of DENV exposure.

Methods

We explored the use of five distinct clustering methods (i.e. agglomerative hierarchical, divisive hierarchical, K-means, K-medoids and model-based clustering) with varying number (from 4 to 10) of clusters for each method. We

SUBMITTER: Sangkaew S 

PROVIDER: S-EPMC6969465 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature