Temporal and Spatial Analysis of Lymphatic Filariasis in Nigeria: Evaluating the Impact of Mass Drug Administration Interventions
DOI:
https://doi.org/10.62054/ijdm/0302.16Abstract
Lymphatic filariasis (LF) remains one of Nigeria’s most persistent neglected tropical diseases, despite over two decades of targeted intervention. This study applied advanced statistical methods to analyze the temporal and spatial patterns of LF in Nigeria from 2013 to 2023, with particular focus on evaluating the effectiveness of the Mass Drug Administration (MDA) program. Annual LF incidence and coverage data obtained from the World Health Organization were analyzed using time series models, interrupted time series regression, and exploratory spatial analysis. The findings revealed that although national LF incidence has declined over time, substantial regional disparities persist, with several northern states maintaining high burden levels. The interrupted time series results indicated that MDA interventions produced statistically significant, though regionally uneven, reductions in disease incidence. Spatial visualization and clustering analyses highlight persistent hotspots, reinforcing the importance of region-specific strategies. The study concluded that sustained MDA coverage, strengthened surveillance, and socio-economic improvements are essential for achieving LF elimination targets by 2030.
References
Adewale, O., Oluwole, A. S., & Onapa, A. W. (2019). Challenges and progress in the elimination of lymphatic filariasis in Nigeria. Parasites & Vectors, 12(1), 1–10. https://doi.org/10.1186/s13071-018-3190-7
Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
Barrett C, Chiphwanya J, Mkwanda S, Matipula DE, Ndhlovu P, Chaponda L, et al. (2024). The national distribution of lymphatic filariasis cases in Malawi using patient mapping and geostatistical modelling. PLoS Negl Trop Dis 18(3): e0012056. https://doi.org/10.1371/journal. pntd.0012056
Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: A tutorial. International Journal of Epidemiology, 46(1), 348–355. https://doi.org/10.1093/ije/dyw098.
Chatfield, C. (2000). Time-series forecasting. CRC Press.
Eigege, A., Kal, A., Miri, E. S., Umaru, J., Mafuyai, H. B., Richards, F. O., ... & Hopkins, D. R. (2013). Long-term impact of mass drug administration for lymphatic filariasis in Nigeria: Evidence from Plateau and Nasarawa States. American Journal of Tropical Medicine and Hygiene, 89(6), 1050–1058. https://doi.org/10.4269/ajtmh.13-0056
Eigege, A., Richards, F. O., Blaney, D. D., Miri, E. S., Kal, A., Umaru, J., ... & Hopkins, D. R. (2017). Rapid scale-up of mass drug administration for lymphatic filariasis in Nigeria: Impact and lessons learned. PLoS Neglected Tropical Diseases, 11(4), e0005578. https://doi.org/10.1371/journal.pntd.0005578
Getis, A. & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
Gyapong, J. O., & Boatin, B. (2016). Neglected tropical diseases—Sub-Saharan Africa’s burden and progress towards elimination. International Health, 8(1 Suppl), i1–i5. https://doi.org/10.1093/inthealth/ihv001
Johnson, O., Fronterre, C., Amoah, B., Montresor, A., Giorgi, E., Midzi, N., et al. Model-Based Geostatistical Methods Enable Efficient Design and Analysis of Prevalence Surveys for Soil-Transmitted Helminth Infection and Other Neglected Tropical Diseases. Clin Infect Dis. 2021; 72(Suppl 3):S172–s9. https:// doi.org/10.1093/cid/ciab192 PMID: 33905476; PubMed Central PMCID: PMC8201574.
Karl, J. A., Fischer, R., Druica, E., Mussco, F. & Stan, A. (2021). Testing the Effectiveness of the Health Belief Model in Predicting Preventive Behavior during the COVID-19 Pandemic: The Case of Romania and Italy. Front. Psychol., Vol. 12. https://doi.org/10.3389/fpsyg2021.627575
Koray, M. H. (2024). Ghana’s path towards eliminating lymphatic filariasis. Tropical Medicine and Health. 52:37 https://doi.org/10.1186/s41182-024-00596-2
Molyneux, D.H., Neira, M., Liese, B. & Heymann, D. (2000). Lymphatic filariasis: setting the scene for elimination. Transactions of the Royal Society of Tropical Medicine and Hygiene, Volume 94, Issue 6, Pages 589-591, https://doi.org/10.1016/S0035-9203(00)90198-6.
Okonofua, C. C. (2023). Epidemiology of the clinical manifestations of lymphatic filariasis in five endemic local government of Ogun State, South Western Nigeria. Journal of Scientific Research and Development, 22(1), 214-222. Retrieved from https://jsrd.unilag.edu.ng/article/view/2371.
Okorie, P. N., & Ademowo, O. G. (2019). Geostatistical modeling of lymphatic filariasis in Nigeria: Identification of transmission hotspots. BMC Public Health, 19(1), 1–11. https://doi.org/10.1186/s12889-019-7528-1
Okorie, P. N., Oduola, A., Omudu, E., Tayo, B., & Mafiana, C. F. (2021). Spatial heterogeneity of lymphatic filariasis in Nigeria: Implications for elimination strategy. Acta Tropica, 222, 106035. https://doi.org/10.1016/j.actatropica.2021.106035
Ottesen, E. A., Duke, B. O., Karam, M., & Behbehani, K. (2008). Strategies and tools for the control/elimination of lymphatic filariasis. Bulletin of the World Health Organization, 85(6), 508–513. https://doi.org/10.2471/BLT.06.036863
Ramaiah, K. D., & Ottesen, E. A. (2014). Progress and impact of 13 years of the global programme to eliminate lymphatic filariasis on reducing the burden of filarial disease. PLoS Neglected Tropical Diseases, 8(11), e3319. https://doi.org/10.1371/journal.pntd.0003319
Rosenstock, I. M. (1974). The Health Belief Model and preventive health behavior. Health Education Monographs, 2(4), 354–386. https://doi.org/10.1177/109019817400200405
Shirley H., Orriols, A. M., Hogan, D., Chimfwembe, K., Bwalya, A. et al,. (2024). A scoping review of lymphatic filariasis research in Zambi. Front. Trop. Dis., Vol. 5. https://doi.org/10.3389/fitd.2024.1449719.
Simonsen, P. E., Derua, Y. A., & Magesa, S. M., Pedersen, E. M., Stensgaard, A., Malecela, M. N. & Kisinza, W. N. (2014). Lymphatic filariasis control in Tanga Region, Tanzania: status after eight rounds of mass drug administration. Parasites & Vectors, 7(1), 507. https://doi.org/10.1186/s13071-014-0507-5
Waje, T., Iliyasu, C., yaki, LM., Auta, IK. (2024). A review of epidemiology of lymphatic filariasis in Nigeria. Pan Afr Med J. 47:142. Doi:10.11604/pamj.2024.47.142.39746
World Health Organization. (2000). Global programme to eliminate lymphatic filariasis: Annual report on lymphatic filariasis 2000. WHO.
World Health Organization. (2020). Lymphatic filariasis: Progress towards elimination. WHO. https://www.who.int/publications/i/item/9789240011948
World Health Organization. (2021). Ending the neglect to attain the Sustainable Development Goals: A road map for neglected tropical diseases 2021–2030. WHO.
World Health Organization. (2022). Global Health Observatory data repository: Lymphatic filariasis. Author. https://www.who.int/data/gho/data/themes/human-resources-for-health
World Health Organization (2025). Global programme to eliminate lymphatic filariasis: progress report, 2024. Weekly epidemiological record (WER) WER No 40, 2025, 100, 439-449. https://www.who.int/publications/i/item/who-wer-9940-565-576.
Downloads
Published
Data Availability Statement
The data can be access from https://espen.afro.who.int/maps-data
Issue
Section
License
Copyright (c) 2026 Olabimpe B. Aladeniyi, Ibrahim T. Seidu, Rasaki Y. Akinbo (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors are solely responsible for obtaining permission to reproduce any copyrighted material contained in the manuscript as submitted. Any instance of possible prior publication in any form must be disclosed at the time the manuscript is submitted and a
copy or link to the publication must be provided.
The Journal articles are open access and are distributed under the terms of the Creative
Commons Attribution-NonCommercial-NoDerivs 4.0 IGO License, which permits use,
distribution, and reproduction in any medium, provided the original work is properly cited.
No modifications or commercial use of the articles are permitted.




