Thanapongtharm Weerapong, Paul Mathilde C, Wiratsudakul Anuwat, Wongphruksasoong Vilaiporn, Kalpravidh Wantanee, Wongsathapornchai Kachen, Damrongwatanapokin Sudarat, Schar Daniel, Gilbert Marius
Department of Livestock Development (DLD), Bangkok, Thailand.
UMR 1225 IHAP, Université de Toulouse, INRA, ENVT, Toulouse, France.
BMC Vet Res. 2019 Mar 4;15(1):73. doi: 10.1186/s12917-019-1815-y.
Thailand's Central Plain is identified as a contact zone between pigs and flying foxes, representing a potential zoonotic risk. Nipah virus (NiV) has been reported in flying foxes in Thailand, but it has never been found in pigs or humans. An assessment of the suitability of NiV transmission at the spatial and farm level would be useful for disease surveillance and prevention. Multi-criteria decision analysis (MCDA), a knowledge-driven model, was used to map contact zones between local epizootic risk factors as well as to quantify the suitability of NiV transmission at the pixel and farm level.
Spatial risk factors of NiV transmission in pigs were identified by experts as being of three types, including i) natural host factors (bat preferred areas and distance to the nearest bat colony), ii) intermediate host factors (pig population density), and iii) environmental factors (distance to the nearest forest, distance to the nearest orchard, distance to the nearest water body, and human population density). The resulting high suitable areas were concentrated around the bat colonies in three provinces in the East of Thailand, including Chacheongsao, Chonburi, and Nakhonnayok. The suitability of NiV transmission in pig farms in the study area was quantified as ranging from very low to medium suitability.
We believe that risk-based surveillance in the identified priority areas may increase the chances of finding out NiV and other bat-borne pathogens and thereby optimize the allocation of financial resources for disease surveillance. In the long run, improvements of biosecurity in those priority areas may also contribute to preventing the spread of potential emergence of NiV and other bat-borne pathogens.
泰国中部平原被认定为猪与狐蝠的接触区域,存在潜在的人畜共患病风险。泰国已在狐蝠身上发现尼帕病毒(NiV),但从未在猪或人类身上发现过。评估NiV在空间和农场层面传播的适宜性,将有助于疾病监测和预防。多标准决策分析(MCDA)是一种知识驱动模型,用于绘制当地动物疫病流行风险因素之间的接触区域,并在像素和农场层面量化NiV传播的适宜性。
专家确定猪群中NiV传播的空间风险因素有三种类型,包括:i)自然宿主因素(蝙蝠偏好区域以及与最近蝙蝠栖息地的距离);ii)中间宿主因素(猪群密度);iii)环境因素(与最近森林的距离、与最近果园的距离、与最近水体的距离以及人口密度)。由此得出的高度适宜区域集中在泰国东部三个省份的蝙蝠栖息地周围,包括差春骚、春武里和那空那育。研究区域内猪场中NiV传播的适宜性量化结果为从极低到中等适宜性。
我们认为,在确定的优先区域开展基于风险的监测,可能会增加发现NiV和其他蝙蝠传播病原体的机会,从而优化疾病监测的财政资源分配。从长远来看,改善这些优先区域的生物安全措施也可能有助于防止NiV和其他蝙蝠传播病原体的潜在出现和传播。