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Estimating the Basic Reproductive Number (R0) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda

机译:估计乌干达猪群之间非洲猪瘟病毒(ASFV)传播的基本生殖数(R0)

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摘要

African swine fever (ASF) is a highly contagious, lethal and economically devastating haemorrhagic disease of domestic pigs. Insights into the dynamics and scale of virus transmission can be obtained from estimates of the basic reproduction number (R 0). We estimate R 0 for ASF virus in small holder, free-range pig production system in Gulu, Uganda. The estimation was based on data collected from outbreaks that affected 43 villages (out of the 289 villages with an overall pig population of 26,570) between April 2010 and November 2011. A total of 211 outbreaks met the criteria for inclusion in the study. Three methods were used, specifically; (i) GIS- based identification of the nearest infectious neighbour based on the Euclidean distance between outbreaks, (ii) epidemic doubling time, and (iii) a compartmental susceptible-infectious (SI) model. For implementation of the SI model, three approaches were used namely; curve fitting (CF), a linear regression model (LRM) and the SI/N proportion. The R 0 estimates from the nearest infectious neighbour and epidemic doubling time methods were 3.24 and 1.63 respectively. Estimates from the SI-based method were 1.58 for the CF approach, 1.90 for the LRM, and 1.77 for the SI/N proportion. Since all these values were above one, they predict the observed persistence of the virus in the population. We hypothesize that the observed variation in the estimates is a consequence of the data used. Higher resolution and temporally better defined data would likely reduce this variation. This is the first estimate of R0 for ASFV in a free range smallholder pig keeping system in sub-Saharan Africa and highlights the requirement for more efficient application of available disease control measures.
机译:非洲猪瘟(ASF)是一种高度传染性,致命性和经济破坏性的家猪出血病。可以从基本繁殖数(R 0)的估计值中洞悉病毒传播的动力学和规模。我们估计乌干达古卢小规模自由放养养猪系统中ASF病毒的R 0。这项估计是基于从2010年4月至2011年11月之间的43个村庄(总共289个村庄的生猪总数为26,570个)的暴发疫情中收集的。总共211起暴发符合纳入研究的标准。具体来说,使用了三种方法。 (i)基于暴发之间的欧几里得距离,基于GIS的最近传染病邻居的识别,(ii)流行倍增时间,以及(iii)隔间易感性传染病(SI)模型。为了实施SI模型,使用了三种方法:曲线拟合(CF),线性回归模型(LRM)和SI / N比例。最近的传染病邻居和流行病倍增时间方法的R 0估计分别为3.24和1.63。基于SI的方法的CF方法估计值为1.58,LRM为1.90,SI / N比例估计为1.77。由于所有这些值均高于1,因此它们可以预测病毒在人群中的持久性。我们假设估计中观察到的变化是所使用数据的结果。更高的分辨率和时间上更好地定义的数据可能会减少这种变化。这是撒哈拉以南非洲自由放养小农户养猪系统中ASFV的R0的首次估算,并突出了对更有效地应用现有疾病控制措施的要求。

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