Transmission Risk Predicting for Schistosomiasis in Mainland China by Exploring Ensemble Ecological Niche Modeling.

Trop Med Infect Dis

NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China.

Published: December 2022

AI Article Synopsis

  • Schistosomiasis is a major neglected tropical disease, with snails serving as its only intermediate host and a key indicator of its occurrence.
  • The study developed an ecological niche model to assess the geographical distribution of snails and identify schistosomiasis risk in China, using historical data and 25 environmental factors from 2005 to 2014.
  • The model categorized risk areas into low, medium, and high, covering 10.96% of China's land area, proving to be an effective tool for evaluating schistosomiasis risk, especially in regions not monitored by existing control programs.

Article Abstract

Schistosomiasis caused by is one of the major neglected tropical diseases worldwide. The snail is the only intermediate host of which is recognized as an indicator of the schistosomias occurrence. In order to evaluate the risk of schistosomiasis in China, this work investigate the potential geographical distribution of host snail habitus by developing an ensemble ecological niche model with reference to the suitable environmental factors. The historical records of snail habitus were collected form the national schistosomiasis surveillance program from the year of 2005 to 2014. A total of 25 environmental factors in terms of the climate, geographic, and socioeconomic determinants of snail habitats were collected and geographically coded with reference to the snail data. Based on the correlations among snail habitats and the geographically associated environmental factors, an ensemble ecological niche model was developed by integrating ten standard models, aiming for improving the predictive accuracy. Three indexes are used for model performance evaluation, including receiver operating characteristic curves, kappa statistics, and true skill statistics. The model was used for mapping the risk of schistosomiasis in the middle and lower reaches of the Yangtze River. The results have shown that the predicted risk areas were classified into low risk (4.55%), medium risk (2.01%), and high risk areas (4.40%), accounting for 10.96% of the land area of China. This study demonstrated that the developed ensemble ecological niche models was an effective tool for evaluating the risk of schistosomiasis, particularly for the endemic regions, which were not covered by the national schistosomiasis control program.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867484PMC
http://dx.doi.org/10.3390/tropicalmed8010024DOI Listing

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