Khormi Hassan M, Kumar Lalit, Elzahrany Ramze A
Ecosystem Management, School of Environmental and Rural Science, Faculty of Arts and Sciences, University of New England, Armidale, NSW 2351, Australia.
Geospat Health. 2011 Nov;6(1):77-84. doi: 10.4081/gh.2011.159.
The aim of this study was to use geographical information systems to demonstrate the Dengue fever (DF) risk on a monthly basis in Jeddah, Saudi Arabia with the purpose to provide documentation serving to improve surveillance and monitor the Aedes aegypti mosquito vector. Getis-Ord Gi* statistics and a frequency index covering a five-year period (2006-2010) were used to map DF and model the risk spatio-temporally. The results show that monthly hotspots were mainly concentrated in central Jeddah districts and that the pattern changes considerably with time. For example, on a yearly basis, for the month of January, the Burman district was identified as a low risk area in 2006, a high-risk area in 2007, medium risk in 2008, very low risk in 2009 and low risk in 2010. The results demonstrate that it would be useful to follow the monthly DF pattern, based on the average weekly frequency, as this can facilitate the allocation of resources for the treatment of the disease, preventing its prevalence and monitoring its vector.
本研究的目的是利用地理信息系统，每月展示沙特阿拉伯吉达市的登革热（DF）风险，目的是提供有助于改善监测和监控埃及伊蚊媒介的文件。使用Getis-Ord Gi*统计和涵盖五年期（2006 - 2010年）的频率指数来绘制登革热地图并对风险进行时空建模。结果表明，月度热点主要集中在吉达市中部地区，且模式随时间变化很大。例如，以年度为基础，对于1月份，布尔曼区在2006年被确定为低风险区域，2007年为高风险区域，2008年为中等风险，2009年为极低风险，2010年为低风险。结果表明，根据平均每周频率跟踪月度登革热模式将是有用的，因为这有助于为疾病治疗分配资源、预防其流行以及监测其媒介。
