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Identifying and Predicting the Geographical Distribution Patterns of Oncomelania hupensis

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  • Yingnan Niu

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Rendong Li

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China)

  • Juan Qiu

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China)

  • Xingjian Xu

    (Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China)

  • Duan Huang

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qihui Shao

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Ying Cui

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Schistosomiasis is a snail-borne parasitic disease endemic to the tropics and subtropics, whose distribution depends on snail prevalence as determined by climatic and environmental factors. Here, dynamic spatial and temporal patterns of Oncomelania hupensis distributions were quantified using general statistics, global Moran’s I, and standard deviation ellipses, with Maxent modeling used to predict the distribution of habitat areas suitable for this snail in Gong’an County, a severely affected region of Jianghan Plain, China, based on annual average temperature, humidity of the climate, soil type, normalized difference vegetation index, land use, ditch density, land surface temperature, and digital elevation model variables; each variable’s contribution was tested using the jackknife method. Several key results emerged. First, coverage area of O. hupensis had changed little from 2007 to 2012, with some cities, counties, and districts alternately increasing and decreasing, with ditch and bottomland being the main habitat types. Second, although it showed a weak spatial autocorrelation, changing negligibly, there was a significant east–west gradient in the O. hupensis habitat area. Third, 21.9% of Gong’an County’s area was at high risk of snail presence; and ditch density, temperature, elevation, and wetting index contributed most to their occurrence. Our findings and methods provide valuable and timely insight for the control, monitoring, and management of schistosomiasis in China.

Suggested Citation

  • Yingnan Niu & Rendong Li & Juan Qiu & Xingjian Xu & Duan Huang & Qihui Shao & Ying Cui, 2019. "Identifying and Predicting the Geographical Distribution Patterns of Oncomelania hupensis," IJERPH, MDPI, vol. 16(12), pages 1-17, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:12:p:2206-:d:242058
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    References listed on IDEAS

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    1. Chester Kalinda & Moses Chimbari & Samson Mukaratirwa, 2017. "Implications of Changing Temperatures on the Growth, Fecundity and Survival of Intermediate Host Snails of Schistosomiasis: A Systematic Review," IJERPH, MDPI, vol. 14(1), pages 1-18, January.
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    Cited by:

    1. Jun Xu & Xiao Ouyang & Qingyun He & Guoen Wei, 2021. "Comprehensive Risk Assessment of Schistosomiasis Epidemic Based on Precise Identification of Oncomelania hupensis Breeding Grounds—A Case Study of Dongting Lake Area," IJERPH, MDPI, vol. 18(4), pages 1-20, February.

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