| 易彬樘,徐德忠,张治英,张波,席云珍,傅建国,罗军,袁明辉,刘少群.广东省潮州市伊蚊媒介的地理信息系统建立与应用[J].Chinese journal of Epidemiology,2004,25(2):134-137 |
| 广东省潮州市伊蚊媒介的地理信息系统建立与应用 |
| Development and application of geographic information system of Aedes vector in Chaozhou city,Guangdong province |
| Received:April 10, 2003 |
| DOI： |
| KeyWord: 地理信息系统 伊蚊属 空间分布 克立格 |
| English Key Word: Geographic information systems Aedes Spatial distribution Kriging |
| FundProject:全军“十五”指令性课题资助项目(01L078) |
| Author Name | Affiliation | | YI Bin-tang | Department of Epidemiology, Faculty of Preventive Medicine, Fourth Military Medical University, Xi’an 710032, China | | XU De-zhong | Department of Epidemiology, Faculty of Preventive Medicine, Fourth Military Medical University, Xi’an 710032, China | | ZHANG Zhi-ying | Department of Epidemiology, Faculty of Preventive Medicine, Fourth Military Medical University, Xi’an 710032, China | | ZHANG Bo | Department of Epidemiology, Faculty of Preventive Medicine, Fourth Military Medical University, Xi’an 710032, China | | XI Yun-zhen | 广州军区联勤部卫生防疫队 | | FU Jian-guo | 广州军区联勤部卫生防疫队 | | LUO Jun | 广东省潮州市第一八八医院 | | YUAN Ming-hui | 广东省潮州市第一八八医院 | | LIU Shao-qun | 潮州市疾病预防控制中心 |
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| Abstract: |
| 目的 探索登革热流行和媒介伊蚊种群的空间分布特征。方法 (1)搜集广东省潮州市的登革热发病资料及同期的媒介种群监测资料；(2)制作潮州市的1:5万的数字化地图,包括了边界、居民点、道路交通、海拔高度、水系等要素；(3)现场测定各监测点中心位置的经纬度；(4)在ArcGIS 8.5专用软件上进行空间分析。结果 潮州市的伊蚊分布具有空间聚集性,伊蚊密度与水系的距离有关,且与水系距离越近,伊蚊密度越高。空间分布图显示,潮州市每年的伊蚊疫情虽有变化,但基本上保持高、中、低三类分布区域,且分布图的评价效果良好。结论 地理信息系统用于登革热媒介监测分析是可行的,并具有常规研究方法不可替代的作用。 |
| English Abstract: |
| Objective To explore the spatial distribution character of dengue fever and the change of Aedes'population, so as to provide macroscopical decision-making evidences of prevention and supervision on dengue fever. Methods (1) Collecting data on morbidity of dengue and supervision on vector's population in the corresponding period. (2) Drawing digitized map of Chaozhou in scale of 1:50 000, including elements of boundary, residential areas, road and traffic, altitude, water systems etc. (3) Measuring the latitude and longitude of center position of surveillance safes on the scene. (4) Processing spatial analysis by the ArcGIS 8.5 software. Results Distribution of Aedes showed spatial cluster in Chaozhou, while its density was related to the distance to the watersides. The close to the watersides, the higher the density was. Map on spatial distribution showed that although the Aedes epidemic situation changed yearly, but primarily be kept in high, middle, low regions. Cross-validation effects of the distribution maps were satisfactory. Conclusion Geographic information system was promising in analyzing data on dengue fever, and better than other routine research methods. |
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