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Geographical Environment Factors and Risk Mapping of Human Cystic Echinococcosis in Western China

Author

Listed:
  • Duan Huang

    (Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Rendong Li

    (Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China)

  • Juan Qiu

    (Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China)

  • Xiangdong Sun

    (China Animal Health and Epidemiology Center, Qingdao 266032, China)

  • Ruixia Yuan

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 420000, China)

  • Yuanyuan Shi

    (Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yubing Qu

    (Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yingnan Niu

    (Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The study aimed to reveal the risk factors and predict the prevalence of human cystic echinococcosis (CE) in Western China. To do this, we analyzed county-wide data relating to the prevalence of human CE in seven provinces of Western China, along with associated human, natural geographical environmental data. We then used spatial analysis and multiple regression analysis to investigate the correlation between the prevalence of human CE and associated environmental factors and to create a risk map of the disease in the seven provinces. Our analysis showed that grassland area ratio and Tibetan population ratio were independent variables positively correlated with the prevalence of human CE and that gross domestic product (GDP) and land surface temperature (LST; Spring) were negative independent variables. We also created a predictive risk map of human CE that revealed that the high-risk areas were mainly located in the south of Qinghai, the Northwest of Sichuan and most of the Tibet Autonomous Region. Knowledge of the spatial distribution and risk factors associated with human CE could help to prevent and control echinococcosis in China.

Suggested Citation

  • Duan Huang & Rendong Li & Juan Qiu & Xiangdong Sun & Ruixia Yuan & Yuanyuan Shi & Yubing Qu & Yingnan Niu, 2018. "Geographical Environment Factors and Risk Mapping of Human Cystic Echinococcosis in Western China," IJERPH, MDPI, vol. 15(8), pages 1-15, August.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1729-:d:163358
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    References listed on IDEAS

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    1. Yu Rong Yang & Gail M Williams & Philip S Craig & Donald P McManus, 2010. "Impact of Increased Economic Burden Due to Human Echinococcosis in an Underdeveloped Rural Community of the People's Republic of China," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 4(9), pages 1-7, September.
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    Cited by:

    1. Yongqing Zhao & Rendong Li & Juan Qiu & Xiangdong Sun & Lu Gao & Mingquan Wu, 2019. "Prediction of Human Brucellosis in China Based on Temperature and NDVI," IJERPH, MDPI, vol. 16(21), pages 1-15, November.
    2. Chang Sun & Qingzhi Wang & Sasmita Poudel Adhikari & Ruixue Ye & Sha Meng & Yuju Wu & Yuping Mao & Hein Raat & Huan Zhou, 2019. "Correlates of School Children’s Handwashing: A Study in Tibetan Primary Schools," IJERPH, MDPI, vol. 16(17), pages 1-12, September.
    3. Antonio López-Quílez, 2019. "Spatio-Temporal Analysis of Infectious Diseases," IJERPH, MDPI, vol. 16(4), pages 1-2, February.

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