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首页> 外文期刊>Transboundary and emerging diseases >Inferring within-herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation
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Inferring within-herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation

机译:使用来自俄罗斯联邦爆发的死亡率数据,推断牛群中的牛瘟病毒的内部传输参数

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Mortality data are routinely collected for many livestock and poultry species, and they are often used for epidemiological purposes, including estimating transmission parameters. In this study, we infer transmission rates for African swine fever virus (ASFV), an important transboundary disease of swine, using mortality data collected from nine pig herds in the Russian Federation with confirmed outbreaks of ASFV. Parameters in a stochastic model for the transmission of ASFV within a herd were estimated using approximate Bayesian computation. Estimates for the basic reproduction number varied amongst herds, ranging from 4.4 to 17.3. This was primarily a consequence of differences in transmission rate (range: 0.7-2.2), but also differences in the mean infectious period (range: 4.5-8.3days). We also found differences amongst herds in the mean latent period (range: 5.8-9.7days). Furthermore, our results suggest that ASFV could be circulating in a herd for several weeks before a substantial increase in mortality is observed in a herd, limiting the usefulness of mortality data as a means of early detection of an outbreak. However, our results also show that mortality data are a potential source of data from which to infer transmission parameters, at least for diseases which cause high mortality.
机译:对于许多牲畜和家禽物种,通常会收集死亡率数据,并且它们通常用于流行病学目的,包括估计传输参数。在这项研究中,我们推断出非洲猪瘟病毒(ASFV)的传输速率,猪的重要越境疾病,利用俄罗斯联邦从九条猪群中收集的死亡率数据,并确认了ASFV的爆发。使用近似贝叶斯计算估计畜群内的ASFV传输的随机模型中的参数。估计基本再现号码在畜群中变化,范围为4.4至17.3。这主要是透射率的差异(范围:0.7-2.2),但平均传染期(范围:4.5-8.3天)也存在差异。我们还发现了平均潜在期间的畜群中的差异(范围:5.8-9.7天)。此外,我们的结果表明,ASFV可以在群体中观察到死亡率大幅增加之前在牛群中循环,限制死亡数据的有用性作为早期发现爆发的手段。然而,我们的结果还表明,死亡率数据是从中推断出疾病的潜在数据来源,至少用于导致高死亡率的疾病。

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