Lewis Fraser I, Torgerson Paul R
Section of Epidemiology, VetSuisse Faculty, University of Zürich, Winterthurerstrasse 270, Zürich, Switzerland, CH 8057.
Emerg Themes Epidemiol. 2012 Dec 28;9(1):9. doi: 10.1186/1742-7622-9-9.
: Epidemiological methods for estimating disease prevalence in humans and other animals in the absence of a gold standard diagnostic test are well established. Despite this, reporting apparent prevalence is still standard practice in public health studies and disease control programmes, even though apparent prevalence may differ greatly from the true prevalence of disease. Methods for estimating true prevalence are summarized and reviewed. A computing appendix is also provided which contains a brief guide in how to easily implement some of the methods presented using freely available software.
在缺乏金标准诊断试验的情况下,用于估计人类和其他动物疾病患病率的流行病学方法已经成熟。尽管如此,报告表观患病率在公共卫生研究和疾病控制项目中仍是标准做法,即使表观患病率可能与疾病的真实患病率有很大差异。本文总结并回顾了估计真实患病率的方法。还提供了一个计算附录,其中包含一份简要指南,介绍如何使用免费软件轻松实施文中介绍的一些方法。