Mullner Petra, Jones Geoff, Noble Alasdair, Spencer Simon E F, Hathaway Steve, French Nigel Peter
Molecular Epidemiology and Veterinary Public Health, Hopkirk Institute, Massey University, Palmerston North, New Zealand.
Risk Anal. 2009 Jul;29(7):970-84. doi: 10.1111/j.1539-6924.2009.01224.x. Epub 2009 Mar 30.
A Bayesian approach was developed by Hald et al.((1)) to estimate the contribution of different food sources to the burden of human salmonellosis in Denmark. This article describes the development of several modifications that can be used to adapt the model to different countries and pathogens. Our modified Hald model has several advantages over the original approach, which include the introduction of uncertainty in the estimates of source prevalence and an improved strategy for identifiability. We have applied our modified model to the two major food-borne zoonoses in New Zealand, namely, campylobacteriosis and salmonellosis. Major challenges were the data quality for salmonellosis and the inclusion of environmental sources of campylobacteriosis. We conclude that by modifying the Hald model we have improved its identifiability, made it more applicable to countries with less intensive surveillance, and feasible for other pathogens, in particular with respect to the inclusion of nonfood sources. The wider application and better understanding of this approach is of particular importance due to the value of the model for decision making and risk management.
哈尔德等人[(1)]开发了一种贝叶斯方法,用于估计丹麦不同食物来源对人类沙门氏菌病负担的贡献。本文描述了几种改进方法的开发,这些方法可用于使该模型适用于不同国家和病原体。我们改进后的哈尔德模型相对于原始方法有几个优点,包括在来源流行率估计中引入不确定性以及改进的可识别性策略。我们已将改进后的模型应用于新西兰的两种主要食源性人畜共患病,即弯曲杆菌病和沙门氏菌病。主要挑战是沙门氏菌病的数据质量以及弯曲杆菌病环境来源的纳入。我们得出结论,通过修改哈尔德模型,我们提高了其可识别性,使其更适用于监测不太密集的国家,并且对于其他病原体也是可行的,特别是在纳入非食物来源方面。由于该模型对决策和风险管理的价值,这种方法的更广泛应用和更好理解尤为重要。