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Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models
Summary
Researchers used machine learning models to predict the current and future geographic range of Oncomelania hupensis — a freshwater snail that carries the parasite causing schistosomiasis in humans — and found climate change is likely to push snail populations northward and westward in China's Yunnan Province. These projections can help public health agencies target snail control efforts in areas that may become newly suitable habitats.
This study showed that the prediction of the current distribution of O. hupensis corresponded well with the actual records. Furthermore, our study provided compelling evidence that the geographical distribution of snails was projected to expand toward the north and west of Yunnan Province in the coming decades, indicating that the distribution of snails is driven by climate factors. Our findings will be of great significance for formulating effective strategies for snail control.
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