Mathematical Modeling of Integrated Interventions for Lymphatic Filariasis Control

ABSTRACT This study presents a novel approach to understanding and controlling the transmission of Lymphatic filariasis. Our model incorporates key factors influencing the spread of the disease, including the use of mosquito repellents, public awareness campaigns, stages of infection (latent, acute, and chronic), and the challenges of treatment failure. Through rigorous analysis, we assess the conditions under which filariasis can be eliminated or controlled, finding that the disease can be eradicated if the basic reproduction number is kept below one. Conversely, a higher basic reproduction number larger than one leads to persistence of the endemic equilibrium. The model is calibrated using real‐world incidence data from Indonesia, offering a tailored understanding of filariasis dynamics in the region. Global sensitivity analysis reveals the most impactful control strategies, while numerical simulations highlight the effectiveness of specific interventions. Our findings underscore the importance of a comprehensive approach to filariasis prevention and control, with implications for public health strategies in endemic regions.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-04-03
DOI
https://doi.org/10.1002/mma.70710
Primary Topic
Parasitic Diseases Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Mathematical Modeling of Integrated Interventions for Lymphatic Filariasis Control

Dipo Aldila, B. D. Handari, Olumuyiwa James Peter, Owen Mulianto
Mathematical Methods in the Applied Sciences
Parasitic Diseases Research and Treatment
article

Mathematical Modeling of Integrated Interventions for Lymphatic Filariasis Control

Dipo Aldila, B. D. Handari, Olumuyiwa James Peter, Owen Mulianto
article en

Abstract

ABSTRACT This study presents a novel approach to understanding and controlling the transmission of Lymphatic filariasis. Our model incorporates key factors influencing the spread of the disease, including the use of mosquito repellents, public awareness campaigns, stages of infection (latent, acute, and chronic), and the challenges of treatment failure. Through rigorous analysis, we assess the conditions under which filariasis can be eliminated or controlled, finding that the disease can be eradicated if the basic reproduction number is kept below one. Conversely, a higher basic reproduction number larger than one leads to persistence of the endemic equilibrium. The model is calibrated using real‐world incidence data from Indonesia, offering a tailored understanding of filariasis dynamics in the region. Global sensitivity analysis reveals the most impactful control strategies, while numerical simulations highlight the effectiveness of specific interventions. Our findings underscore the importance of a comprehensive approach to filariasis prevention and control, with implications for public health strategies in endemic regions.

Mathematical Methods in the Applied Sciences
University of Indonesia (ID), Department of Mathematical Sciences (RU), Olusegun Agagu University of Science and Technology (NG)
Direktorat Riset and Pengembangan, Universitas Indonesia
Good health and well-being
Openalex Percentile: Top 24%
Parasitic Diseases Research and Treatment
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