Huang Zheng Y X, van Langevelde Frank, Honer Karanina J, Naguib Marc, de Boer Willem F
College of Life Sciences, Nanjing Normal University, 210023, Nanjing, China.
Resource Ecology Group, Wageningen University, 6708PB, Wageningen, The Netherlands.
Parasit Vectors. 2017 Jan 7;10(1):16. doi: 10.1186/s13071-016-1953-z.
African swine fever (ASF) causes severe socio-economic impacts due to high mortality and trade restrictions. Many risk factors of ASF have been identified at farm level. However, understanding the risk factors, especially wild suid hosts, determining ASF transmission at regional level remains limited.
Based on ASF outbreak data in domestic pigs during 2006-2014, we here tested, separately for West and East Africa, which risk factors were linked to ASF presence at a regional level, using generalized linear mixed models.
Our results show that ASF infections in the preceding year was an important predictor for ASF presence in both West and East Africa. Both pig density and human density were positively associated with ASF presence in West Africa. In East Africa, ASF outbreaks in domestic pigs were also correlated with higher percentages of areas occupied by giant forest hogs and by high-tick-risk areas.
Our results suggest that regional ASF risk in East Africa and in West Africa were associated with different sets of risk factors. Regional ASF risk in West Africa mainly followed the domestic cycle, whereas the sylvatic cycle may influence regional ASF risk in East Africa. With these findings, we contribute to the better understanding of the risk factors of ASF occurrence at regional scales that may aid the implementation of effective control measures.
非洲猪瘟(ASF)因高死亡率和贸易限制而造成严重的社会经济影响。在农场层面已确定了许多非洲猪瘟的风险因素。然而,对于风险因素,尤其是野猪宿主的了解,以及在区域层面确定非洲猪瘟的传播情况仍然有限。
基于2006 - 2014年家猪的非洲猪瘟疫情数据,我们在此分别针对西非和东非,使用广义线性混合模型测试了哪些风险因素与区域层面的非洲猪瘟存在相关。
我们的结果表明,上一年的非洲猪瘟感染是西非和东非非洲猪瘟存在的重要预测指标。猪密度和人口密度与西非的非洲猪瘟存在均呈正相关。在东非,家猪的非洲猪瘟疫情也与巨林猪占据的较高面积百分比以及高蜱风险区域相关。
我们的结果表明,东非和西非的区域非洲猪瘟风险与不同的风险因素集相关。西非的区域非洲猪瘟风险主要遵循家猪传播周期,而野生动物传播周期可能会影响东非的区域非洲猪瘟风险。通过这些发现,我们有助于更好地理解区域尺度上非洲猪瘟发生的风险因素,这可能有助于实施有效的控制措施。