ArticleParasites & vectors2025
The effects of variable spatial aggregation on lymphatic filariasis transmission.
Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Spatial Clustering of Lymphatic Filariasis in Relation to Potential Mansonia Mosquito Habitats in Endemic Communities of Belitung Regency, Indonesia.Acta parasitologica · 2026Article
- Global, regional, and national disability-adjusted life years and prevalence of lymphatic filariasis from 1990 to 2021: A trend and health inequality analysis based on the global burden of disease study 2021.PLoS neglected tropical diseases · 2025Article
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3 authors.
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Abstract
backgroundElimination of lymphatic filariasis (LF) is a World Health Organization goal, with several countries at or near prevalence thresholds. Where LF cases remain after mass drug administration, they tend to be spatially clustered, with an overdispersed individual worm burden. Both individual and spatial heterogeneities can cause aggregation of infection; however, few studies have investigated the drivers of heterogeneity and implications for disease elimination.
methodsWe used a spatially explicit lymphatic filariasis model to investigate LF transmission in American Samoa at three spatial scales - a territory-level model, a village model with 64 groups and a subvillage model with 316 groups.
resultsTo reproduce American Samoan survey data, models with less spatial structure required increased individual-level bite aggregation. Threshold behaviour was present in the territory model but less evident in the models with spatial structure. As such, mass drug administration was most effective in the territory model, while in the spatially structured models, successive rounds of mass drug administration only gradually increased the likelihood of elimination. With the addition of spatial structure, residual infections remained in limited groups, and infection resurgence was slowed.
conclusionsDue to the impacts on potential intervention and surveillance strategies, it is critical that studies incorporate individual and spatial sources of heterogeneity to accurately model transmission and inform potential policy decisions.
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