ArticleParasites & vectors2016
Modelling the spatial and seasonal distribution of suitable habitats of schistosomiasis intermediate host snails using Maxent in Ndumo area, KwaZulu-Natal Province, South Africa.
Article in Parasites & vectors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Schistosomiasis in Zambia: a systematic review of past and present experiences.Infectious diseases of poverty · 2018Pooled it
- Implications of Changing Temperatures on the Growth, Fecundity and Survival of Intermediate Host Snails of Schistosomiasis: A Systematic Review.International journal of environmental research and public health · 2017Pooled it
- Modeling the current spatial distribution of snail intermediate hosts of schistosomiasis using Maxent software in the Volta Basin (Burkina Faso).Parasite epidemiology and control · 2026Article
- Potential of machine learning for prevention and control of neglected tropical diseases: a scoping review.Communications medicine · 2026Article
- Projected climate change effects on suitable habitat for Pseudosuccinea columella and Radix natalensis in uMgungundlovu, South Africa.PloS one · 2026Article
- Predicting current habitat suitability for intermediate snail hosts of urogenital and intestinal schistosomiasis in the Lower Shire Valley floodplain of southern Malawi.Parasites & vectors · 2025Article
- Multiscale environmental drivers of human brucellosis transmission in Xinjiang: A spatiotemporal analysis integrating GAM and MaxEnt modeling (2015-2023).PLoS neglected tropical diseases · 2025Article
- Schistosomiasis and water resources development in Africa: A scoping review and multi-case evaluation of associated snail control.PLoS neglected tropical diseases · 2025Article
- Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent.Scientific reports · 2025Article
- Decoding the impact of environmental shifts on snail density dynamics in the Yangtze River basin: a 26-year study.Parasites & vectors · 2025Article
- A first report of Biomphalaria pfeifferi in the Lower Shire Valley, Southern Malawi, a major intermediate snail host species for intestinal schistosomiasis.Scientific reports · 2025Article
- Exploring the interplay between climate change and schistosomiasis transmission dynamics.Infectious Disease Modelling · 2024Article
- A machine learning approach for modeling the occurrence of the major intermediate hosts for schistosomiasis in East Africa.Scientific reports · 2024Article
- Spatial analysis and risk mapping ofParasite epidemiology and control · 2023Article
- A Place-Based Conceptual Model (PBCM) of Neotricula aperta/Schistosoma mekongi habitat before and after dam construction in the Lower Mekong River.PLoS neglected tropical diseases · 2023Article
- Three Gorges Dam: Potential differential drivers and trend in the spatio-temporal evolution of the change in snail density based on a Bayesian spatial-temporal model and 5-year longitudinal study.Parasites & vectors · 2023Article
- Open-source environmental data as an alternative to snail surveys to assess schistosomiasis risk in areas approaching elimination.International journal of health geographics · 2023Article
- Article
- Open-source environmental data as an alternative to snail surveys to assess schistosomiasis risk in areas approaching elimination.Research square · 2023Article
- Article
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5 authors.
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Abstract
backgroundSchistosomiasis is a snail-borne disease endemic in sub-Saharan Africa transmitted by freshwater snails. The distribution of schistosomiasis coincides with that of the intermediate hosts as determined by climatic and environmental factors. The aim of this paper was to model the spatial and seasonal distribution of suitable habitats for Bulinus globosus and Biomphalaria pfeifferi snail species (intermediate hosts for Schistosoma haematobium and Schistosoma mansoni, respectively) in the Ndumo area of uMkhanyakude district, South Africa.
methodsMaximum Entropy (Maxent) modelling technique was used to predict the distribution of suitable habitats for B. globosus and B. pfeifferi using presence-only datasets with ≥ 5 and ≤ 12 sampling points in different seasons. Precipitation, maximum and minimum temperatures, Normalised Difference Vegetation Index (NDVI), Normalised Difference Water Index (NDWI), pH, slope and Enhanced Vegetation Index (EVI) were the background variables in the Maxent models. The models were validated using the area under the curve (AUC) and omission rate.
resultsThe predicted suitable habitats for intermediate snail hosts varied with seasons. The AUC for models in all seasons ranged from 0.71 to 1 and the prediction rates were between 0.8 and 0.9. Although B. globosus was found at more localities in the Ndumo area, there was also evidence of cohabiting with B. pfiefferi at some of the locations. NDWI had significant contribution to the models in all seasons.
conclusionThe Maxent model is robust in snail habitat suitability modelling even with small dataset of presence-only sampling sites. Application of the methods and design used in this study may be useful in developing a control and management programme for schistosomiasis in the Ndumo area.
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