Barongo Mike B, Ståhl Karl, Bett Bernard, Bishop Richard P, Fèvre Eric M, Aliro Tony, Okoth Edward, Masembe Charles, Knobel Darryn, Ssematimba Amos
Department of Academic Registrar (ICT Division), Makerere University, Kampala, Uganda; International Livestock Research Institute, Nairobi, Kenya.
Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
PLoS One. 2015 May 4;10(5):e0125842. doi: 10.1371/journal.pone.0125842. eCollection 2015.
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 (R0). We estimate R0 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 R0 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.
非洲猪瘟(ASF)是家猪中一种具有高度传染性、致死性且对经济有严重破坏的出血性疾病。通过基本繁殖数(R0)的估计,可以深入了解病毒传播的动态和规模。我们对乌干达古卢的小规模、放养式生猪生产系统中的非洲猪瘟病毒R0进行了估计。该估计基于2010年4月至2011年11月期间从43个村庄(在总共289个村庄中,猪的总数为26,570头)爆发疫情中收集的数据。共有211次疫情符合纳入该研究的标准。具体使用了三种方法:(i)基于地理信息系统(GIS),根据疫情之间的欧几里得距离确定最近的感染邻居;(ii)疫情倍增时间;(iii)一个易感染-感染(SI)的分区模型。对于SI模型的实施,使用了三种方法,即:曲线拟合(CF)、线性回归模型(LRM)和SI/N比例。通过最近感染邻居法和疫情倍增时间法得出的R0估计值分别为3.24和1.63。基于SI法的估计值,CF方法为1.58,LRM为1.90,SI/N比例为1.77。由于所有这些值都大于1,它们预示着病毒在猪群中的持续存在。我们推测估计值中观察到的差异是所用数据的结果。更高分辨率和时间上定义更明确的数据可能会减少这种差异。这是撒哈拉以南非洲地区对放养式小规模养猪系统中非洲猪瘟病毒R0的首次估计,并突出了更有效应用现有疾病控制措施的必要性。