Lietman Thomas M, Gebre Teshome, Abdou Amza, Alemayehu Wondu, Emerson Paul, Blumberg Seth, Keenan Jeremy D, Porco Travis C
F.I Proctor Foundation, San Francisco, CA, USA; Department of Ophthalmology, San Francisco, CA, USA; Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.
The Carter Center, Atlanta, GA, USA.
Epidemics. 2015 Jun;11:85-91. doi: 10.1016/j.epidem.2015.03.003. Epub 2015 Mar 21.
Mathematical models predict that the prevalence of infection in different communities where an infectious disease is disappearing should approach a geometric distribution. Trachoma programs offer an opportunity to test this hypothesis, as the World Health Organization (WHO) has targeted trachoma to be eliminated as a public health concern by the year 2020. We assess the distribution of the community prevalence of childhood ocular chlamydia infection from periodic, cross-sectional surveys in two areas of Ethiopia. These surveys were taken in a controlled setting, where infection was documented to be disappearing over time. For both sets of surveys, the geometric distribution had the most parsimonious fit of the distributions tested, and goodness-of-fit testing was consistent with the prevalence of each community being drawn from a geometric distribution. When infection is disappearing, the single sufficient parameter describing a geometric distribution captures much of the distributional information found from examining every community. The relatively heavy tail of the geometric suggests that the presence of an occasional high-prevalence community is to be expected, and does not necessarily reflect a transmission hot spot or program failure. A single cross-sectional survey can reveal which direction a program is heading. A geometric distribution of the prevalence of infection across communities may be an encouraging sign, consistent with a disease on its way to eradication.
数学模型预测,在一种传染病正在消失的不同社区中,感染流行率应接近几何分布。沙眼防治项目提供了检验这一假设的机会,因为世界卫生组织(WHO)已将到2020年消除沙眼作为一个公共卫生问题作为目标。我们通过对埃塞俄比亚两个地区的定期横断面调查来评估儿童眼部衣原体感染的社区流行率分布。这些调查是在一个可控环境中进行的,在该环境中,感染情况被记录为随时间推移而消失。对于两组调查,几何分布在所测试的分布中拟合最为简约,且拟合优度检验与每个社区的流行率来自几何分布一致。当感染正在消失时,描述几何分布的单个充分参数捕获了从检查每个社区中发现的大部分分布信息。几何分布相对较重的尾部表明,偶尔出现高流行率社区是可以预期的,并不一定反映传播热点或项目失败。一次横断面调查就能揭示一个项目的发展方向。社区间感染流行率的几何分布可能是一个令人鼓舞的迹象,表明一种疾病正朝着根除的方向发展。