Evidence map›Paper›PMID 39780258›Full record

ArticleParasites & vectors2025

The effects of variable spatial aggregation on lymphatic filariasis transmission.

Callum Shaw, Angus McLure, Kathryn Glass

Abstract read
In one paragraph

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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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Callum ShawNational Centre for Epidemiology and Population Health, Australian National University, 62 Mills Road, Canberra, 2601, ACT, Australia. callum.shaw@anu.edu.au.
Angus McLureNational Centre for Epidemiology and Population Health, Australian National University, 62 Mills Road, Canberra, 2601, ACT, Australia.
Kathryn GlassNational Centre for Epidemiology and Population Health, Australian National University, 62 Mills Road, Canberra, 2601, ACT, Australia.

Funding

Australian Research Council Discovery Project Grant DP180100246
6 · The paper itself

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.

Indexed as

Elephantiasis, FilarialMass Drug AdministrationAdolescentAdultAnimalsChildDisease EradicationFemaleFilaricidesHumansMalePrevalenceSamoaSpatial AnalysisYoung AdultFilaricidesIndividual heterogeneityLymphatic filariasisModelSpatial heterogeneity

Identifiers

PMID39780258
PMCPMC11716132

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.