摘要
森林脑炎作为一种蜱传自然疫源性疾病,其空间分布与环境关系密切,探索其时空分布模式与环境因子对其影响机制对于掌握和预测森林脑炎的发病风险区域具有重要意义。本文以我国东北疫源区(黑龙江省、吉林省和内蒙古自治区)为研究区,通过统计分析和空间自相关分析探究了2005—2015年森林脑炎时空分布特征,进而运用地理探测器模型探讨森林脑炎空间分布影响因素及其指示作用。结果表明:①研究区内森林脑炎发病率在2005—2015年有明显的增长趋势和季节性发病特征,且其发病率具有较强的空间集聚模式,主要有2个大的热点集聚区;②从整个研究区来看,植被类型、土地利用、年均气温、土壤类型、5—8月均气温、坡度、高程和年均降雨量是森林脑炎发病率空间流行的主要环境影响因素;③对于所筛选的环境指示因子而言,各指示因子对森林脑炎发病风险的影响程度存在差异,即各因子的各类型(范围)内,森林脑炎发病率不同;各指示因子两两之间的相互作用对森林脑炎的发病风险具有显著增强效应。研究结果可为研究区及全国森林脑炎疫情的有效控制提供科学依据和决策支持。
Tick Borne Encephalitis(TBE)is an acute infectious disease involving central neuropathy caused by the bite of a Tick borne Encephalitis Virus(TBEV)infected tick,which is a typical zoonotic disease.TBE occurs in areas with a wide distribution of tick and its distribution is related to the environment.Besides,it is also a typically natural focus disease in a special ecosystem composed of pathogens,vectors,and host animals.As a natural focus disease,TBE threatens human health and impedes socioeconomic development in northeastern China.Therefore,analyzing the spatial-temporal distribution of TBE and its influencing factors are of vital importance for TBE control.This paper selected Heilongjiang Province,Jilin Province,and the Inner Mongolia Autonomous Region in northeastern China,which are typical TBE endemic areas,to study the spatial-temporal distribution of TBE and its influencing factors.Firstly,we explored the spatial-temporal distribution of TBE in the study area from 2005 to2015 through statistical analysis and spatial autocorrelation,Secondly,we used Geo-Detector to investigate the factors that influence the spatial distribution of TBE and its indicative role.Our results show that:(1)the incidence of TBE in the endemic areas of Northeastern China had an obvious growth trend and seasonal incidence characteristics from 2005 to 2015.The incidence of TBE in the study area had a strong spatial clustering pattern with two main hot spots,Hulunbuir city in the Inner Mongolia autonomous region and the Greater Khingan Range region in Heilongjiang province;(2)vegetation type,land use,average annual temperature,soil type,average temperature from May to August,slope,elevation,and annual rainfall were the main influencing factors of spatial prevalence of TBE.In general,the influence of natural environment was stronger than that of social environmental;(3)for the whole study area,the relationship between each risk factor and TBE was different,and the incidence of TBE was different with each factor.Besides,the interaction between various factors was significantly enhanced,that is,the impact of two factors was stronger than that of a single factor.The common interaction between some factors exceeded 0.5,and most factors exceeded 0.3.Particularly,the main interaction enhancement effect was manifested in the interaction of each factor with land use and elevation.Our results provide scientific basis and decision support for the effective control of TBE in the study area and the whole country.
作者
宋海慧
余卓渊
丁晓彤
谢云鹏
吕可晶
SONG Haihui;YU Zhuoyuan;DING Xiaotong;XIE Yunpeng;LV Kejing(State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《地球信息科学学报》
CSCD
北大核心
2020年第12期2371-2382,共12页
Journal of Geo-information Science
基金
国家重点研发计划项目课题(2018YFC1508805)。
关键词
森林脑炎
时空分布
影响因素
自然因素
社会因素
空间自相关
地理探测器
东北疫源区
Tick-borne encephalitis
spatial-temporal distribution
environmental factor
natural factors
social factors
spatial autocorrelation analysis
geographical detector
northeast epidemic area
