ArticlePLoS computational biology2013
Modelling co-infection with malaria and lymphatic filariasis.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The extent, nature, and pathogenic consequences of helminth polyparasitism in humans: A meta-analysis.PLoS neglected tropical diseases · 2019Pooled it
- A data-driven analysis and forecasting of Leishmaniasis-COVID-19 co-infection model using ensemble Kalman filter.Scientific reports · 2026Article
- Clinical features and management of pediatric lymphedema.Turkish journal of physical medicine and rehabilitation · 2025Review
- Right lower limb lymphatic aplasia in lymphoscintigraphy: a case report.Journal of medical case reports · 2025Article
- The role of lymphatic endothelial cell metabolism in lymphangiogenesis and disease.Frontiers in cardiovascular medicine · 2024Review
- Geospatial modelling of lymphatic filariasis and malaria co-endemicity in Nigeria.International health · 2023Article
- Parasite co-infection: an ecological, molecular and experimental perspective.Proceedings. Biological sciences · 2022Article
- Drug-Related Lymphedema: Mysteries, Mechanisms, and Potential Therapies.Frontiers in pharmacology · 2022Review
- Mathematical Model for Optimal Control of Soil-Transmitted Helminth Infection.Computational and mathematical methods in medicine · 2020Article
- Modeling the Effects of Helminth Infection on the Transmission Dynamics of Mycobacterium tuberculosis under Optimal Control Strategies.Computational and mathematical methods in medicine · 2020Article
- Modeling Lyme disease transmission.Infectious Disease Modelling · 2017Review
- Socio-ecological dynamics and challenges to the governance of Neglected Tropical Disease control.Infectious diseases of poverty · 2017Review
- Modeling the Parasitic Filariasis Spread by Mosquito in Periodic Environment.Computational and mathematical methods in medicine · 2017Article
- Coinfection by Ixodes Tick-Borne Pathogens: Ecological, Epidemiological, and Clinical Consequences.Trends in parasitology · 2016Review
- The impact of residual infections on Anopheles-transmitted Wuchereria bancrofti after multiple rounds of mass drug administration.Parasites & vectors · 2015Article
- Malaria endemicity and co-infection with tissue-dwelling parasites in Sub-Saharan Africa: a review.Infectious diseases of poverty · 2015Review
- How effective is integrated vector management against malaria and lymphatic filariasis where the diseases are transmitted by the same vector?PLoS neglected tropical diseases · 2014Article
- Molecular epidemiology, phylogeny and evolution of the filarial nematode Wuchereria bancrofti.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2014Review
- Impact of Schistosoma mansoni on malaria transmission in Sub-Saharan Africa.PLoS neglected tropical diseases · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Malaria and lymphatic filariasis (LF) continue to cause a considerable public health burden globally and are co-endemic in many regions of sub-Saharan Africa. These infections are transmitted by the same mosquito species which raises important questions about optimal vector control strategies in co-endemic regions, as well as the effect of the presence of each infection on endemicity of the other; there is currently little consensus on the latter. The need for comprehensive modelling studies to address such questions is therefore significant, yet very few have been undertaken to date despite the recognised explanatory power of reliable dynamic mathematical models. Here, we develop a malaria-LF co-infection modelling framework that accounts for two key interactions between these infections, namely the increase in vector mortality as LF mosquito prevalence increases and the antagonistic Th1/Th2 immune response that occurs in co-infected hosts. We consider the crucial interplay between these interactions on the resulting endemic prevalence when introducing each infection in regions where the other is already endemic (e.g. due to regional environmental change), and the associated timescale for such changes, as well as effects on the basic reproduction number R₀ of each disease. We also highlight potential perverse effects of vector controls on human infection prevalence in co-endemic regions, noting that understanding such effects is critical in designing optimal integrated control programmes. Hence, as well as highlighting where better data are required to more reliably address such questions, we provide an important framework that will form the basis of future scenario analysis tools used to plan and inform policy decisions on intervention measures in different transmission settings.
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