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评价 SaTScan 软件用于前瞻性检测英格兰东北部时空弯曲杆菌聚集性的效果。

An evaluation of SaTScan for the prospective detection of space-time Campylobacter clusters in the North East of England.

机构信息

Health Protection Agency North East, Citygate, Gallowgate, Newcastle upon Tyne, UK.

出版信息

Epidemiol Infect. 2013 Nov;141(11):2354-64. doi: 10.1017/S0950268812003135. Epub 2013 Jan 25.

Abstract

Campylobacteriosis is the commonest cause of bacterial enteritis in England yet the epidemiology of apparently sporadic cases is not well understood. Here we evaluated the feasibility of applying a space-time cluster detection method to routine laboratory surveillance data in the North East of England by simulating prospective weekly space-time cluster detection using SaTScan as if it had been performed for 2008-2011. From the 209 simulated weekly runs using a circular window, 20 distinct clusters were found which contained a median of 30 cases (interquartile range 15-66) from a median population of ~134,000 persons. This corresponds to detection of a new cluster every 10 weeks. We found significant differences in age, sex and deprivation score distributions between areas within clusters compared to those without. The results of this study suggest that space-time detection of Campylobacter clusters could be used to find groups of cases amenable to epidemiological investigation.

摘要

空时聚类检测方法在英格兰东北部地区的应用评估

空肠弯曲菌肠炎是英国最常见的细菌性肠炎,但散发病例的流行病学情况尚不清楚。本研究旨在评估似然性时空聚类检测方法应用于常规实验室监测数据的可行性,通过模拟 SaTScan 前瞻性每周时空聚类检测,如果该方法用于 2008-2011 年,每周检测一次。通过使用圆形窗口对 209 个模拟的每周运行情况进行分析,发现了 20 个不同的聚类,每个聚类包含中位数为 30 例病例(四分位距 15-66),中位数人群约为 134000 人。这相当于每 10 周发现一个新的聚类。与无聚类地区相比,聚类区域内的年龄、性别和贫困评分分布存在显著差异。本研究结果表明,空时聚类检测方法可用于发现适合进行流行病学调查的病例组。

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本文引用的文献

1
Source attribution of human campylobacteriosis using a meta-analysis of case-control studies of sporadic infections.
Epidemiol Infect. 2012 Jun;140(6):970-81. doi: 10.1017/S0950268811002676. Epub 2012 Jan 3.
5
A recipe for disaster: outbreaks of campylobacteriosis associated with poultry liver pâté in England and Wales.
Epidemiol Infect. 2010 Dec;138(12):1691-4. doi: 10.1017/S0950268810001974. Epub 2010 Aug 23.
6
Review of software for space-time disease surveillance.
Int J Health Geogr. 2010 Mar 12;9:16. doi: 10.1186/1476-072X-9-16.
7
Survival of indicator and pathogenic bacteria in bovine feces on pasture.
Appl Environ Microbiol. 2007 Dec;73(24):7917-25. doi: 10.1128/AEM.01620-07. Epub 2007 Oct 19.
8
Correlations between Campylobacter spp. prevalence in the environment and broiler flocks.
J Appl Microbiol. 2007 Sep;103(3):640-9. doi: 10.1111/j.1365-2672.2007.03291.x.
9
Survival of Campylobacter jejuni and Escherichia coli in groundwater during prolonged starvation at low temperatures.
J Appl Microbiol. 2007 Sep;103(3):573-83. doi: 10.1111/j.1365-2672.2006.03285.x.
10

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