Ontology highlight
ABSTRACT: Background
In the global program for the eradication of yaws, assessments of the prevalence of the disease are used to decide where to initiate mass treatment. However, the smallest administrative unit that should be used as the basis for making decisions is not clear. We investigated spatial and temporal clustering of yaws to help inform the choice of implementation unit.Methodology/principal findings
We analyzed 11 years of passive surveillance data on incident yaws cases (n = 1448) from Lihir Island, Papua New Guinea. After adjusting for age, sex, and trends in health-seeking, we detected three non-overlapping spatial-temporal clusters (p < 1 × 10(-17), p = 1.4 × 10(-14), p = 1.4 × 10(-8)). These lasted from 28 to 47 months in duration and each encompassed between 4 and
SUBMITTER: Mooring EQ
PROVIDER: S-EPMC6224128 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature