首页> 外文会议>Meeting of the Society for Veterinary Epidemiology and Preventive Medicine >ESTIMATE OF BASIC REPRODUCTION NUMBER (R0) OF LOW PATHOGENICITYAVIAN INFLUENZA OUTBREAKS USING A BAYESIAN APPROACH
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ESTIMATE OF BASIC REPRODUCTION NUMBER (R0) OF LOW PATHOGENICITYAVIAN INFLUENZA OUTBREAKS USING A BAYESIAN APPROACH

机译:利用贝叶斯方法估计低致病素内甲型流感爆发的基本再生数(R0)

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Low pathogenicity avian influenza (LPAI) is a mild disease in poultry with low mortality. Certain virus subtypes may evolve into the highly pathogenic forms, with devastating consequences. Characterising the epidemiological determinants of LPAI is critical to facilitate effective control measures. The basic reproduction number (Ro, the average number of new cases generated by one infectious individual in a fully susceptible population) is an important epidemiological parameter which summarises the transmission potential of a disease. Ideally, Ro is estimated from the complete course of an outbreak, taking into account the infection times of each bird and the length of the infectious period. Unfortunately, onset and duration of LPAI infections are difficult to establish in the field because of the mainly subclinical course of the disease and the high number of birds per flock. Using serosurveillance data, a Bayesian hierarchical model was implemented to estimate Ro of LPAI outbreaks in meat turkey flocks from the final size p (the proportion of a population that had been infected by the end of an outbreak) through the equationp = 1 - exp(-p Ro). Two different probability distributions for R0 (gamma and lognormal) were compared and test sensitivity(as a fixed value or a distribution) was further included into the model. A lower sensitivity increased the estimates of Ro, but better allowed for the fact that the data came from a serosurveillance programme, the results of which depend on both the true infectious status of the flock and the accuracy of the diagnostic assays. Based on the deviance information criterion, the best model had a gamma-distributed Ro with mean 5.7 (95% CI: 3.3-20.5), and a posterior median sensitivity of 97.6%. The estimated variance of 12.6 (95% CI: 1.8-382.8) indicates that Ro in the population of infected flock is possibly highly variable, an argument in strong favour of the use of field data to estimate transmission parameters.
机译:低致病性禽流感(LPAI)是禽类的轻度疾病,死亡率低。某些病毒亚型可能会进化成高致病形式,具有破坏性后果。表征LPAI的流行病学决定因素对于促进有效的控制措施至关重要。基本再现数(RO,一种传染性人群中的一种传染性人群产生的平均新病例的平均数)是一个重要的流行病学参数,其总结了疾病的传播潜力。理想情况下,RO估计爆发的完整过程,考虑到每只鸟类的感染时间和传染期的长度。不幸的是,由于疾病的主要亚临床过程和每群鸟类的主要鸟类,难以在该领域建立发病和持续时间。利用血管训练数据,实施了贝叶斯等级模型,以通过票据(爆发结束末期感染的人口的比例)估计肉类爆发的RPAI爆发RO估计植物群中的植物爆发的RPAI爆发-p ro)。比较了R0(伽马和逻辑)的两个不同概率分布,并进一步包含在模型中的测试灵敏度(作为固定值或分布)。较低的灵敏度增加了RO的估计,但更好地允许数据来自血清训练程序,这取决于植绒的真正传染状态和诊断测定的准确性。基于偏差信息标准,最佳模型具有伽马分布的RO,平均5.7(95%CI:3.3-20.5),后位敏感度为97.6%。估计的差异为12.6(95%CI:1.8-382.8)表明,感染群人口中的RO可能是高度变化的,这是强有力利于使用现场数据来估算传输参数。

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