首页 | 官方网站   微博 | 高级检索  
     

基于遥感-地理信息系统的登革热疫情与环境要素的关系研究
引用本文:岳玉娟,鲁亮,刘起勇.基于遥感-地理信息系统的登革热疫情与环境要素的关系研究[J].疾病监测,2017,32(6):458-461.
作者姓名:岳玉娟  鲁亮  刘起勇
作者单位:1.中国疾病预防控制中心传染病预防控制所, 北京 102206
基金项目:国家重点研发计划,高分辨率对地观测系统重大专项(No.10-Y30B11-9001-14/16)This study were supported by the fund for National Key Research and Development Project,Special Project of High Resolution Remote Sensing Images
摘    要:目的 利用遥感、地理信息系统和空间统计学方法,分析广州市登革热疫情与空间地理环境之间的关系。方法 利用遥感和地理信息系统技术用于多源地理空间环境数据的获取,Spearman法和多重回归法分析登革热疫情与地理环境因子之间的关系。结果 登革热疫情与土地利用类型、水体指数、地表温度、人口和国内生产总值间呈高度显著正相关,其中与夜晚地表温度和人口的相关系数分别为0.699和0.705。建立了登革热疫情与人口、夜间地表温度、土地利用类型之间的多重线性回归方程,R2=0.278,整体F检验P=0.001,回归方程具有统计学意义,其中人口对登革热疫情贡献最大。结论 登革热疫情与人口、经济等社会环境和温度、土地利用类型等自然环境密切相关,在今后的登革热防控中,应重点关注地理空间环境中人口密度和地表温度对疫情的影响。

关 键 词:登革热    遥感    地理信息系统    Spearman    多重回归分析
收稿时间:2016-12-01

Study on relationship between dengue fever epidemic and geographical environmental factors based on remote sensing-geographic information system
YUE Yu-juan,LU Liang,LIU Qi-yong.Study on relationship between dengue fever epidemic and geographical environmental factors based on remote sensing-geographic information system[J].Disease Surveillance,2017,32(6):458-461.
Authors:YUE Yu-juan  LU Liang  LIU Qi-yong
Affiliation:1.State Key Laboratory of Communicable Disease Prevention and Control, National Institute for Communicable Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing 102206, China
Abstract:Objective To analyze the relationship between dengue fever epidemic and spatial geographical environment in Guangzhou,Guangdong province.Methods Remote sensing and geographic information system technology were used for the collection of multi-source geospatial data.Spearman method and multivariate regression analysis method were used to analyze the relationship between dengue fever epidemic and geographical environment factors.Results The results indicated that dengue fever epidemic was highly significantly positive correlated with land use type,water index,land surface temperature,population and gross domestic product,and the correlation coefficients between dengue fever epidemic and land surface temperature in night and population were 0.699 and 0.705,respectively.The multivariate linear regression equation between dengue fever epidemic and population,land surface temperature in night and land use type was established.The R2 was 0.278.The overall F test had a P value of 0.001,the difference was significant.The contribution of population to dengue fever epidemic was highest.Conclusion Dengue fever epidemic is closely correlated with social factors,such as population density,economy level,and natural environment factors,such as air temperature and land use type.Therefore,it is necessary to pay attention to the influence of population density,air temperature and in the future prevention and control of dengue fever.
Keywords:Dengue fever  Remote sensing  Geographic information system  Spearman  Multivariate regression analysis
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《疾病监测》浏览原始摘要信息
点击此处可从《疾病监测》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号