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| 肾综合征出血热疫情与NDVI的时间关系——以内蒙古自治区大杨树镇为例 | |
| 引用本文： | 闫磊,黄华国,张文义,王剑波,任玉环,方立群,黄晓霞,曹务春,闫守邕,王世文.肾综合征出血热疫情与NDVI的时间关系——以内蒙古自治区大杨树镇为例[J].遥感学报,2009,13(5):880-893. |
| 作者姓名： | 闫磊 黄华国 张文义 王剑波 任玉环 方立群 黄晓霞 曹务春 闫守邕 王世文 |
| 作者单位： | 1. 中国疾病预防控制中心,病毒病预防控制所,北京,100052 2. 北京林业大学,省部共建森林培育与保护重点实验室,北京,100083 3. 军事医学科学院,微生物流行病研究所,北京,100071 4. 内蒙古自治区大兴安岭林业中心卫生防疫站,内蒙古,呼伦贝尔,022150 5. 遥感科学国家重点实验室,中国科学院遥感应用研究所,北京师范大学,北京,100101 |
| 基金项目： | 国家杰出青年基金(编号: 30725032), 国家自然基金(编号: 30590374, 30700682)和传染病重大专项基金(编号: 2008ZX10004-012)。 |
| 摘 要： | 利用月度肾综合征出血热发病人数和长时序月度NDVI值的相互关系, 对肾综合征出血热的发病趋势及发病人数进行预测。研究区大杨树镇2001—2005年共有144例完整的HFRS病人资料, 以及同期详细的宿主动物捕获数据。基于Landsat TM影像以及Google earth 影像, 大杨树地区土地利用分为4种类型, 山地、林地、农田以及居民点。各类土地利用类型的NDVI数据由SPOT-4 卫星的 VGT-S10数据集(10d最大化合成的NDVI数据)提供。对HFRS病例与NDVI之间的关系进行图解分析、相关分析和回归分析。研究表明, NDVI的峰值多出现于8月, 而HFRS发病人数的峰值多出现在11月。前朔3个月的农田NDVI值与HFRS病例数之间的相关系数为0.67(P值<0.001)。农田NDVI峰值比HFRS病例的峰值提前了3个月。研究量化了NDVI与HFRS之间的关系, 为HFRS早期预警系统的建立提供了依据。 |
| 关 键 词： | 遥感 肾综合征出血热 SPOT NDVI |
| 收稿时间： | 8/2/2008 12:00:00 AM |
| 修稿时间： | 2008/12/3 0:00:00 |
The relationship between hemorrhagic fever with renal syndrome cases and time series of NDVI in Dayangshu District |
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| YAN Lei,HUANG Hua-guo,ZHANG Wen-yi,WANG Jian-bo,REN Yu-huan,FANG Li-qun,HUANG Xiao-xi,CAO Wu-chun,YAN Shou-yong and WANG Shi-wen.The relationship between hemorrhagic fever with renal syndrome cases and time series of NDVI in Dayangshu District[J].Journal of Remote Sensing,2009,13(5):880-893. | |
| Authors: | YAN Lei HUANG Hua-guo ZHANG Wen-yi WANG Jian-bo REN Yu-huan FANG Li-qun HUANG Xiao-xi CAO Wu-chun YAN Shou-yong and WANG Shi-wen |
| Institution: | 1. Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100052, China;2. State Key Laboratory for Silviculture and Conservation, Jointly Sponsored by Ministry of Education and College of Forestry of Bei-jing Forestry University, Beijing 100083, China;3. Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing 100071, China;4. Public Health Center, Da Xin An Ling Bureau of Forest, Inter Mongolia Hulunbeier 022150, China;5. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China;3. Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing 100071, China;1. Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100052, China;3. Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing 100071, China;5. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China;1. Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100052, China |
| Abstract: | In China, hemorrhagic fever with renal syndrome (HFRS) is still endemic in 31 of 32 provinces, autonomous regions and metropolis, and accounts for 90% of the HFRS cases reported globally. Some studies indicated that HFRS incidence was significantly different among different precipitation, temperature level, land-cover, soil types and normalized difference vegetation index (NDVI). The current study proposed to explore the temporal relationship between the inter-annual variation in the number of cases of human disease caused by hantavirus and time series of NDVI in order to predicate the trend and level of the case number of HFRS. Dayangshu district in Inner Mongolia Autonomous Region was selected as the study area. Based on Landsat TM image, the land-use of this district was divided into four categories: hill, forest, farm-land and residence area. The relationship between the case number of HFRS and time series NDVI was explored by using graphic demonstration, correlation test and linear regression analyses. The study indicated that the highest correlation coefficient was 0.67 (P value<0.001) between three months backward NDVI and the number of cases of HFRS in farmland. The result also indicated that the peak of cases happened 3 months later than the peak of monthly NDVI. This study quantified the temporal relationship between NDVI and the number of the cases of HFRS. |
| Keywords: | remote sensing HFRS SPOT NDVI |
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