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首页> 中文期刊> 《贫困所致传染病（英文）》 >Assessing environmental factors associated with regional schistosomiasis prevalence in Anhui Province,Peoples’Republic of China using a geographical detector method

Assessing environmental factors associated with regional schistosomiasis prevalence in Anhui Province,Peoples’Republic of China using a geographical detector method

         
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摘要

Background:Schistosomiasis is a water-borne disease caused by trematode worms belonging to genus Schistosoma,which is prevalent most of the developing world.Transmission of the disease is usually associated with multiple biological characteristics and social factors but also factors can play a role.Few studies have assessed the exact and interactive influence of each factor promoting schistosomiasis transmission.Methods:We used a series of different detectors(i.e.,specific detector,risk detector,ecological detector and interaction detector)to evaluate separate and interactive effects of the environmental factors on schistosomiasis prevalence.Specifically,(i)specific detector quantifies the impact of a risk factor on an observed spatial disease pattern,which were ranked statistically by a value of Power of Determinate(PD)calculation;(ii)risk detector detects high risk areas of a disease on the condition that the study area is stratified by a potential risk factor;(iii)ecological detector explores whether a risk factor is more significant than another in controlling the spatial pattern of a disease;(iv)interaction detector probes whether two risk factors when taken together weaken or enhance one another,or whether they are independent in developing a disease.Infection data of schistosomiasis based on conventional surveys were obtained at the county level from the health authorities in Anhui Province,China and used in combination with information from Chinese weather stations and internationally available environmental data.Results:The specific detector identified various factors of potential importance as follows:Proximity to Yangtze River(0.322)>Land cover(0.285)>sunshine hours(0.256)>population density(0.109)>altitude(0.090)>the normalized different vegetation index(NDVI)(0.077)>land surface temperature at daytime(LST_(day))(0.007).The risk detector indicated that areas of schistosomiasis high risk were located within a buffer distance of 50 km from Yangtze River.The ecological detector disclosed that the factors investigated have significantly different effects.The interaction detector revealed that interaction between the factors enhanced their main effects in most cases.Conclusion:Proximity to Yangtze River had the strongest effect on schistosomiasis prevalence followed by land cover and sunshine hours,while the remaining factors had only weak influence.Interaction between factors played an even more important role in influencing schistosomiasis prevalence than each factor on its own.High risk regions influenced by strong interactions need to be targeted for disease control intervention.

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  • 来源
    《贫困所致传染病（英文）》 |2017年第001期|P.761-768|共8页
  • 作者

    Yi Hu; Congcong Xia; Shizhu Li; Michael PWard; Can Luo; Fenghua Gao; Qizhi Wang; Shiqing Zhang; Zhijie Zhang;

  • 作者单位

    Department of Epidemiology School of Public Health Fudan University Shanghai 200032 ChinaKey Laboratory of Public Health Safety Ministry of Education Shanghai ChinaLaboratory for Spatial Analysis and Modeling School of Public Health Fudan University Shanghai ChinaCollaborative Innovation Center of Social Risks Governance in Health School of Public Health Fudan University Shanghai China;

    Department of Epidemiology School of Public Health Fudan University Shanghai 200032 ChinaKey Laboratory of Public Health Safety Ministry of Education Shanghai ChinaLaboratory for Spatial Analysis and Modeling School of Public Health Fudan University Shanghai ChinaCollaborative Innovation Center of Social Risks Governance in Health School of Public Health Fudan University Shanghai China;

    National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention Key Laboratory of Parasite and Vector Biology Ministry of Health WHO Collaborating Center for Tropical diseases Shanghai People’s Republic of ChinaNo.130 Dong’an Road Xuhui District Shanghai 200032 China;

    Faculty of Veterinary Science The University of Sydney NSW Sydney Australia;

    Department of Environmental Art and Architecture Changsha Environmental Protection Vocational Technical College Changsha Hunan People’s Republic of China;

    Anhui Institute of Parasitic Diseases Wuhu People’s Republic of China;

    Anhui Institute of Parasitic Diseases Wuhu People’s Republic of China;

    Anhui Institute of Parasitic Diseases Wuhu People’s Republic of China;

    Department of Epidemiology School of Public Health Fudan University Shanghai 200032 ChinaKey Laboratory of Public Health Safety Ministry of Education Shanghai ChinaLaboratory for Spatial Analysis and Modeling School of Public Health Fudan University Shanghai ChinaCollaborative Innovation Center of Social Risks Governance in Health School of Public Health Fudan University Shanghai ChinaNo.130 Dong’an Road Xuhui District Shanghai 200032 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 中国工业经济;
  • 关键词

    Schistosoma japonicum; Geographical detector; Spatial variation analysis; Environmental factors; Geographic information systems; China;

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