School of the Environment, Natural Resources and Geography, College of Natural Sciences, Bangor University, Gwynedd, UK.
Epidemiol Infect. 2012 Apr;140(4):643-54. doi: 10.1017/S0950268811001257. Epub 2011 Jul 7.
Few hard data are available on emergent diseases. However, the need to mitigate and manage emergent diseases has prompted the use of various expert consultation and opinion elicitation methods. We adapted best-worst scaling (BWS) to elicit experts' assessment of the relative practicality and effectiveness of measures to reduce human exposure to E. coli O157. Cattle vaccination was considered the most effective and hand-washing was considered the most practical measure. BWS proved a powerful tool for expert elicitation as it breaks down a cognitively burdensome process into simple, repeated, tasks. In addition, statistical analysis of the resulting data provides a scaled set of scores for the measures, rather than just a ranking. The use of two criteria (practicality and effectiveness) within the BWS process allows the identification of subsets of measures judged as potentially performing well on both criteria, and conversely those judged to be neither effective nor practical.
关于突发疾病,我们掌握的硬数据很少。但是,为了减轻和控制突发疾病,我们需要利用各种专家咨询和意见征询方法。我们采用最佳最差评分法(Best-Worst Scaling,BWS)来评估减少人类接触大肠杆菌 O157 的措施的相对实用性和有效性。牛只接种疫苗被认为是最有效的措施,而洗手则被认为是最实用的措施。BWS 证明是一种强大的专家意见征询工具,因为它将认知负担繁重的过程分解为简单、重复的任务。此外,对所得数据进行的统计分析为措施提供了一组按比例划分的分数,而不仅仅是排名。在 BWS 过程中使用两个标准(实用性和有效性)可以识别出被认为在两个标准上都表现良好的措施子集,反之,那些被认为既不有效也不实用的措施。