Yang Guojing, Zhou Xiaonong, Malone J B, McCarroll J C, Wang Tianping, Liu Jianxiang, Gao Qi, Zhang Xiaoping, Hong Qingbiao, Sun Leping
Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2002 Mar;36(2):103-5.
To perform GIS spatial analysis on malaria transmission patterns in Jiangsu after setting up a malaria database and developing GIS model of malaria transmission in Jiangsu province.
The epidemiological GIS database of malaria in Jiangsu province was established using ArcView 3.0a software. The climate data covering Jiangsu province and its peripheral area were extracted from the FAOCLIM database, the total growing degree days (TGDD) for Plasmodium vivax were calculated, and spatial distribution for TGDD was analyzed by ArcVeiw 3.0a.
The predicted malaria distribution map based on TGDD was created, which showed that the transmission of malaria decreased gradually from west to east, which can be divided into three belts according to the degree of transmission. The 14-year mean morbidity distribution map of malaria in Jiangsu showed that the middle and west parts of Jiangsu is the most serious endemic area. The morbidity in the areas along the Taihu valley, such as Suzhou, Wuxi and Changzhou, as well as Nantong and a few of northern counties are the lowest. The morbidity of other places is at the middle level. The 14-year mean morbidity distribution map of malaria is correlated with predicted malaria distribution map for TGDD.
It is possible to monitor the malaria transmission by GIS predicted model based on TGDD.
在建立疟疾数据库并开发江苏省疟疾传播地理信息系统（GIS）模型后，对江苏省疟疾传播模式进行GIS空间分析。
使用ArcView 3.0a软件建立江苏省疟疾流行病学GIS数据库。从粮农组织气候数据库中提取覆盖江苏省及其周边地区的气候数据，计算间日疟原虫的总生长度日（TGDD），并通过ArcVeiw 3.0a分析TGDD的空间分布。
创建了基于TGDD的疟疾预测分布图，结果显示疟疾传播从西向东逐渐减少，根据传播程度可分为三个带。江苏省14年疟疾平均发病率分布图显示，江苏中西部是疟疾流行最严重的地区。苏州、无锡、常州等沿太湖流域地区以及南通和北部少数县的发病率最低。其他地区的发病率处于中等水平。江苏省14年疟疾平均发病率分布图与基于TGDD的疟疾预测分布图相关。
基于TGDD的GIS预测模型有可能用于监测疟疾传播。
