Evidence map›Paper›PMID 40883829›Full record

ArticleParasites & vectors2025

Predicting current habitat suitability for intermediate snail hosts of urogenital and intestinal schistosomiasis in the Lower Shire Valley floodplain of southern Malawi.

Clinton Nkolokosa, James Chirombo, Christopher M Jones, Rex B Mbewe, Eggrey Aisha Kambewa, Peter Makaula, Julie-Anne Akiko Tangena, J Russell Stothard

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Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Clinton NkolokosaMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi. cnkolokosa@mlw.mw.
James ChiromboMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Christopher M JonesLiverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
Rex B MbeweKamuzu University of Health Sciences, Malaria Alert Centre, Blantyre, Malawi.
Eggrey Aisha KambewaMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Peter MakaulaMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Julie-Anne Akiko TangenaLiverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
J Russell StothardLiverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.

Funding

Wellcome 223660/Z/21/Z
6 · The paper itself

Abstract

backgroundRelating the geographical distribution of intermediate freshwater snail hosts (viz. vectors of schistosomes) to local environmental attributes offers value for understanding the epidemiological landscape of schistosomiasis transmission in a changing aquatic environment. Schistosomiasis-both urogenital and intestinal-causes significant human suffering, affecting approximately 240 million people globally and grouped within the neglected tropical disease (NTD) umbrella. This study addresses the following questions: 1. Where are the most suitable habitats for intermediate host snails in the Lower Shire Valley (LSV) in Malawi? 2. Which environmental factors are strongly associated with the geographical distribution of such snails in the LSV?

methodsThis paper presents the first species distribution models (SDMs) for intermediate snail hosts for urogenital and intestinal schistosomiasis in Chikwawa and Nsanje Districts, which together form the LSV). The SDMs developed for this study are ensemble machine learning approaches based on Random Forest (RF), Support Vector Machines (SVM), and multilayer perceptron (MLP) and are specific to the Bulinus africanus group and Biomphalaria pfeifferi. The former transmits urogenital schistosomiasis (Schistosoma haematobium), while the latter transmits intestinal schistosomiasis (Schistosoma mansoni).

resultsThe SDMs reveal the following: 1) currently, Bu. africanus group not only has a wide distribution across central Chikwawa and eastern Nsanje but is also concentrated in floodplains, and the LSV has few habitats that can support Bi. pfeifferi, and 2) vegetation cover is the most important predictor of Bu. africanus group distribution, whereas precipitation variables are most important for Bi. pfeifferi in the LSV. Thus, Bu. africanus group habitat is the most dominant and abundant, while Bi. pfeifferi suitable habitat is patchy and scarce.

conclusionThe distribution of suitable habitats for potential urogenital and intestinal schistosomiasis transmission across LSV is not uniform and typically non-overlapping. Understanding the spatial and temporal distributions of these snails is important for controlling and eliminating schistosomiasis.

Indexed as

BiomphalariaEcosystemSchistosomiasis haematobiaSchistosomiasis mansoniSnailsAnimalsBulinusHumansMalawiSchistosoma haematobiumBiomphalaria pfeifferiBulinus africanus groupClimate changeEnsemble machine learningMalawiSchistosomiasisSpecies distribution modelling

Identifiers

PMID40883829
PMCPMC12395679

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LicenceCC BY
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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.