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

被引:7
|
作者
Xue, Jingbo [1 ,2 ]
Hu, Xiaokang [1 ]
Hao, Yuwan [1 ]
Gong, Yanfeng [1 ]
Wang, Xinyi [1 ]
Huang, Liangyu [1 ]
Lv, Shan [1 ,2 ]
Xu, Jing [1 ]
Li, Shizhu [1 ,2 ,3 ]
Xia, Shang [1 ,2 ,3 ]
机构
[1] Natl Ctr Int Res Trop Dis, Chinese Ctr Dis Control & Prevent, NHC Key Lab Parasite & Vector Biol, Chinese Ctr Trop Dis Res,WHO Collaborating Ctr Tro, Shanghai 200025, Peoples R China
[2] Shanghai Jiao Tong Univ Sch Med, Chinese Ctr Trop Dis Res, Sch Global Hlth, Shanghai 200025, Peoples R China
[3] Hainan Trop Dis Res Ctr, Hainan Sub Ctr Chinese Ctr Trop Dis Res, Haikou 571199, Peoples R China
基金
中国国家自然科学基金;
关键词
Schistosoma japonica; snail habitat; ecological niche modeling; SPECIES DISTRIBUTION MODELS; ONCOMELANIA-HUPENSIS; ACCURACY;
D O I
10.3390/tropicalmed8010024
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Schistosomiasis caused by Schistosoma japonicum is one of the major neglected tropical diseases worldwide. The snail Oncomelania hupensis is the only intermediate host of S. japonicum, 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.
引用
收藏
页数:13
相关论文
共 50 条
  • [11] Predicting the geography of species' invasions via ecological niche modeling
    Peterson, AT
    QUARTERLY REVIEW OF BIOLOGY, 2003, 78 (04): : 419 - 433
  • [12] Predicting species' geographic distributions based on ecological niche modeling
    Peterson, AT
    CONDOR, 2001, 103 (03): : 599 - 605
  • [13] Predicting distributions of Mexican mammals using ecological niche modeling
    Illoldi-Rangel, P
    Sánchez-Cordero, V
    Peterson, AT
    JOURNAL OF MAMMALOGY, 2004, 85 (04) : 658 - 662
  • [14] Modeling potential risk areas of Orthohantavirus transmission in Northwestern Argentina using an ecological niche approach
    Lopez, Walter R.
    Altamiranda-Saavedra, Mariano
    Kehl, Sebastian D.
    Ferro, Ignacio
    Bellomo, Carla
    Martinez, Valeria P.
    Simoy, Mario I.
    Gil, Jose F.
    BMC PUBLIC HEALTH, 2023, 23 (01)
  • [15] Modeling potential risk areas of Orthohantavirus transmission in Northwestern Argentina using an ecological niche approach
    Walter R. López
    Mariano Altamiranda-Saavedra
    Sebastián D. Kehl
    Ignacio Ferro
    Carla Bellomo
    Valeria P. Martínez
    Mario I. Simoy
    José F. Gil
    BMC Public Health, 23
  • [16] Imported African schistosomiasis and the potential risk of transmission in China
    Cui, Jing
    Jiang, Peng
    Song, Yan Yan
    Zhang, Xi
    Wang, Zhong Quan
    PATHOGENS AND GLOBAL HEALTH, 2018, 112 (02) : 101 - 105
  • [17] Evaluating the risk of Schistosoma mansoni transmission in mainland China
    Qu, Guoli
    Wang, Wei
    Lu, Xiaomin
    Dai, Jianrong
    Li, Xiaoheng
    Liang, Yousheng
    PARASITOLOGY RESEARCH, 2016, 115 (12) : 4711 - 4713
  • [18] Evaluating the risk of Schistosoma mansoni transmission in mainland China
    Guoli Qu
    Wei Wang
    Xiaomin Lu
    Jianrong Dai
    Xiaoheng Li
    Yousheng Liang
    Parasitology Research, 2016, 115 : 4711 - 4713
  • [19] Parameter estimation of modeling schistosomiasis transmission for four provinces in China
    Qi, Longxing
    Tang, Yanwu
    Tian, Shou-jing
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 16 (02) : 1005 - 1020
  • [20] Predicting suitable habitat of the Chinese monal (Lophophorus lhuysii) using ecological niche modeling in the Qionglai Mountains, China
    Wang, Bin
    Xu, Yu
    Ran, Jianghong
    PEERJ, 2017, 5