Queen Mary University of London, School of Biological and Chemical Sciences, London E1 4NS, UK.
Int J Health Geogr. 2011 May 18;10:35. doi: 10.1186/1476-072X-10-35.
Geographic profiling is a statistical tool originally developed in criminology to prioritise large lists of suspects in cases of serial crime. Here, we use two data sets--one historical and one modern--to show how it can be used to locate the sources of infectious disease.
First, we re-analyse data from a classic epidemiological study, the 1854 London cholera outbreak. Using 321 disease sites as input, we evaluate the locations of 13 neighbourhood water pumps. The Broad Street pump--the outbreak's source--ranks first, situated in the top 0.2% of the geoprofile. We extend our study with an analysis of reported malaria cases in Cairo, Egypt, using 139 disease case locations to rank 59 mosquitogenic local water sources, seven of which tested positive for the vector Anopheles sergentii. Geographic profiling ranks six of these seven sites in positions 1-6, all in the top 2% of the geoprofile. In both analyses the method outperformed other measures of spatial central tendency.
We suggest that geographic profiling could form a useful component of integrated control strategies relating to a wide variety of infectious diseases, since evidence-based targeting of interventions is more efficient, environmentally friendly and cost-effective than untargeted intervention.
地理画像分析是一种最初在犯罪学中开发的统计工具,用于优先处理连续犯罪案件中的大量嫌疑人名单。在这里,我们使用两个数据集——一个是历史数据集,另一个是现代数据集——来展示如何将其用于定位传染病的来源。
首先,我们重新分析了经典流行病学研究——1854 年伦敦霍乱爆发的数据。我们使用 321 个疾病地点作为输入,评估了 13 个邻里水泵的位置。爆发源头的宽街水泵排名第一,位于地理画像的前 0.2%。我们通过分析埃及开罗的疟疾报告病例扩展了我们的研究,使用 139 个疾病病例位置对 59 个可能滋生疟疾病媒的当地水源进行排名,其中有 7 个被检测出携带疟疾病媒按蚊属丝虫。地理画像分析将这七个地点中的六个排在第 1-6 位,全部排在地理画像的前 2%。在这两种分析中,该方法都优于其他空间集中趋势的衡量标准。
我们认为,地理画像分析可以成为与各种传染病相关的综合控制策略的有用组成部分,因为基于证据的干预措施比无目标干预措施更有效、更环保、更具成本效益。