ArticleParasites & vectors2015
Modelling strategies to break transmission of lymphatic filariasis--aggregation, adherence and vector competence greatly alter elimination.
Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
- How important is the spatial movement of people in attempts to eliminate the transmission of human helminth infections by mass drug administration?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Trial
- Individual adherence to mass drug administration in neglected tropical disease control: A probability model conditional on past behaviour.PLoS neglected tropical diseases · 2021Trial
- COMET-LF: a compartmental model of dynamics of infection, disease, and elimination strategies for lymphatic filariasis.BMC infectious diseases · 2025Article
- Modelling transmission thresholds and hypoendemic stability for onchocerciasis elimination.PLoS computational biology · 2025Article
- Shrinking the lymphatic filariasis map of Zimbabwe: Reassessing the population requiring treatment through confirmatory mapping.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025Article
- The effects of variable spatial aggregation on lymphatic filariasis transmission.Parasites & vectors · 2025Article
- Short- and Long-Range Dispersal by Members of theInsects · 2024Review
- How Does the Proportion of Never Treatment Influence the Success of Mass Drug Administration Programs for the Elimination of Lymphatic Filariasis?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- Reducing the Antigen Prevalence Target Threshold for Stopping and Restarting Mass Drug Administration for Lymphatic Filariasis Elimination: A Model-Based Cost-effectiveness Simulation in Tanzania, India and Haiti.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- Subnational Projections of Lymphatic Filariasis Elimination Targets in Ethiopia to Support National Level Policy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- An Ensemble Framework for Projecting the Impact of Lymphatic Filariasis Interventions Across Sub-Saharan Africa at a Fine Spatial Scale.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- How correlations between treatment access and surveillance inclusion impact neglected tropical disease monitoring and evaluation-A simulated study.PLoS neglected tropical diseases · 2023Article
- Lymphatic filariasis endgame strategies: Using GEOFIL to model mass drug administration and targeted surveillance and treatment strategies in American Samoa.PLoS neglected tropical diseases · 2023Article
- Diagnosis of helminths depends on worm fecundity and the distribution of parasites within hosts.Proceedings. Biological sciences · 2023Article
- On Spatiotemporal Overdispersion and Macroparasite Accumulation in Hosts Leading to Aggregation: A Quantitative Framework.Diseases (Basel, Switzerland) · 2022Article
- A game-theoretic model of lymphatic filariasis prevention.PLoS neglected tropical diseases · 2022Article
- Statistical methods for linking geostatistical maps and transmission models: Application to lymphatic filariasis in East Africa.Spatial and spatio-temporal epidemiology · 2022Article
- The potentials ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022Article
- Challenges of using modelling evidence in the visceral leishmaniasis elimination programme in India.PLOS global public health · 2022Article
- Modelling the Impact of Vector Control on Lymphatic Filariasis Programs: Current Approaches and Limitations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Review
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Authors and funding
7 authors.
Funding
Abstract
backgroundWith ambitious targets to eliminate lymphatic filariasis over the coming years, there is a need to identify optimal strategies to achieve them in areas with different baseline prevalence and stages of control. Modelling can assist in identifying what data should be collected and what strategies are best for which scenarios.
methodsWe develop a new individual-based, stochastic mathematical model of the transmission of lymphatic filariasis. We validate the model by fitting to a first time point and predicting future timepoints from surveillance data in Kenya and Sri Lanka, which have different vectors and different stages of the control programme. We then simulate different treatment scenarios in low, medium and high transmission settings, comparing once yearly mass drug administration (MDA) with more frequent MDA and higher coverage. We investigate the potential impact that vector control, systematic non-compliance and different levels of aggregation have on the dynamics of transmission and control.
resultsIn all settings, increasing coverage from 65 to 80 % has a similar impact on control to treating twice a year at 65 % coverage, for fewer drug treatments being distributed. Vector control has a large impact, even at moderate levels. The extent of aggregation of parasite loads amongst a small portion of the population, which has been estimated to be highly variable in different settings, can undermine the success of a programme, particularly if high risk sub-communities are not accessing interventions.
conclusionEven moderate levels of vector control have a large impact both on the reduction in prevalence and the maintenance of gains made during MDA, even when parasite loads are highly aggregated, and use of vector control is at moderate levels. For the same prevalence, differences in aggregation and adherence can result in very different dynamics. The novel analysis of a small amount of surveillance data and resulting simulations highlight the need for more individual level data to be analysed to effectively tailor programmes in the drive for elimination.
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