Centre for Public Health and Zoonoses, Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Canada.
PLoS One. 2012;7(11):e48519. doi: 10.1371/journal.pone.0048519. Epub 2012 Nov 1.
Zoonoses account for over half of all communicable diseases causing illness in humans. As there are limited resources available for the control and prevention of zoonotic diseases, a framework for their prioritization is necessary to ensure resources are directed into those of highest importance. Although zoonotic outbreaks are a significant burden of disease in North America, the systematic prioritization of zoonoses in this region has not been previously evaluated.
METHODOLOGY/PRINCIPAL FINDINGS: This study describes the novel use of a well-established quantitative method, conjoint analysis (CA), to identify the relative importance of 21 key characteristics of zoonotic diseases that can be used for their prioritization in Canada and the US. Relative importance weights from the CA were used to develop a point-scoring system to derive a recommended list of zoonoses for prioritization in Canada and the US. Over 1,500 participants from the general public were recruited to complete the online survey (761 from Canada and 778 from the US). Hierarchical Bayes models were fitted to the survey data to derive CA-weighted scores. Scores were applied to 62 zoonotic diseases of public health importance in Canada and the US to rank diseases in order of priority.
CONCLUSIONS/SIGNIFICANCE: This was the first study to describe a systematic and quantitative approach to the prioritization of zoonoses in North America involving public participants. We found individuals with no prior knowledge or experience in prioritizing zoonoses were capable of producing meaningful results using CA as a novel quantitative approach to prioritization. More similarities than differences were observed between countries suggesting general agreement in disease prioritization between Canadians and Americans. We demonstrate CA as a potential tool for the prioritization of zoonoses; other prioritization exercises may also consider this approach.
人畜共患病占导致人类患病的所有传染病的一半以上。由于用于控制和预防人畜共患病的资源有限,因此需要建立一个框架来对其进行优先排序,以确保资源投入到最重要的疾病中。尽管人畜共患疫情是北美疾病的重大负担,但该地区对人畜共患病的系统优先排序尚未得到评估。
方法/主要发现:本研究描述了一种新颖的使用经过充分验证的定量方法,即联合分析(CA),来确定 21 种关键人畜共患病特征的相对重要性,这些特征可用于在加拿大和美国对其进行优先排序。从 CA 获得的相对重要性权重用于开发一个评分系统,以得出加拿大和美国需要优先考虑的人畜共患病的推荐清单。从普通公众中招募了 1500 多名参与者完成在线调查(加拿大 761 人,美国 778 人)。对调查数据进行层次贝叶斯模型拟合,以得出 CA 加权得分。将这些分数应用于加拿大和美国具有公共卫生重要性的 62 种人畜共患病,以确定疾病的优先顺序。
结论/意义:这是第一项描述在北美对人畜共患病进行系统和定量优先排序的研究,涉及公众参与者。我们发现,即使是对人畜共患病优先排序没有任何预先了解或经验的个人,也能够使用 CA 作为一种新颖的定量方法来产生有意义的结果。两个国家之间的相似之处多于差异,这表明加拿大人和美国人在疾病优先排序方面总体上存在共识。我们证明 CA 是一种人畜共患病优先排序的潜在工具;其他优先排序工作也可能考虑采用这种方法。