ArticleScientific reports2026
Modeling the impact of community information dissemination on the transmission dynamics of lymphatic filariasis.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The World Health Organization has underscored the importance of implementing sustained and integrated interventions to interrupt the transmission of lymphatic filariasis (LF); however, achieving this goal requires a deeper understanding of the dynamics of the disease. In this study, we propose a deterministic mathematical model to investigate the transmission and control of LF, incorporating key factors including treated and untreated individuals, community information dissemination, immature and mature mosquito populations. We fitted the LF model to data using reported LF cases in Ghana from 2010 to 2021. The parameter fitting reported a normalized mean squared error of [Formula: see text]. The global stability of the disease-free and endemic equilibria is analyzed using LaSalle's invariance principle. Sensitivity analysis and numerical simulations revealed that increasing the awareness rate (κ) significantly reduces the spread of LF, while decreasing [Formula: see text], the probability of humans contracting the disease from an infected mosquito bite, further suppresses transmission. The simulation results show that individuals who received treatment experienced better health outcomes compared to those who did not, with a significant decrease in the progression to advanced stages of the disease. Community information dissemination further mitigates transmission by enhancing awareness, treatment-seeking behavior, and adherence to control measures. These findings underscore the importance of enhancing public awareness, reducing human-mosquito contact through personal protective measures, and implementing effective mosquito control strategies, such as insecticide-treated nets, indoor residual spraying, and environmental management, to disrupt breeding sites.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.