Owada Kei, Mahony Timothy J, Ambrose Rebecca K, Hayes Ben J, Soares Magalhães Ricardo J
Queensland Alliance for One Health Sciences, School of Veterinary Science, The University of Queensland, Gatton 4343, Australia.
Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia 4072, Australia.
Transbound Emerg Dis. 2024 May 2;2024:3090226. doi: 10.1155/2024/3090226. eCollection 2024.
Lumpy skin disease (LSD) is a vector-borne infection caused by the poxvirus lumpy skin disease virus (LSDV) and is a serious disease of cattle, water buffalo, and banteng. While the disease has never occurred in Australia, it is regarded as a growing threat to the Australian cattle industry as there is on-going spread of the disease throughout Asia. The development of geospatial decision support tools, such as spatial epidemiological modelling, may assist in assessing areas at greater risk of this threat. To guide the design of disease modelling approaches to support future risk-based surveillance, existing LSDV epidemiological models need to be evaluated. In this study, we performed a literature review to evaluate existing LSDV epidemiological models, identify key risk factors for introduction and spread of LSDV, and consider previously adopted control strategies. The PRISMA guidelines were used to establish the processes for article selection and information extraction, and the PICO process was used to formulate search terms. From studies that met our inclusion criteria, we extracted information on LSDV epidemiological model structure and parameterisation, risk factors for LSDV transmission and spread, and biosecurity control strategies. The literature search retrieved a total of 402 articles from four databases, of which 68 were identified for inclusion in this review following screening. Of the 68 articles reviewed, 47 explored risk factors associated with LSDV transmission and spread, four explored risk factors of LSDV introduction, four explored existing surveillance strategies in LSD-free countries, and 14 presented epidemiological models. Our findings indicate that there are various risk factors for LSDV transmission in LSD endemic countries, including long-distance airborne movement of infected vectors such as stable flies and cattle movement between countries over land borders. Key risk factors for LSDV spread in LSD endemic countries include physical environmental characteristics, weather conditions, and population distributions of livestock and vectors. Our results indicate that while a variety of modelling studies have been conducted, the majority of studies experimentally explored LSD transmission mechanisms in vectors and cattle. Spatial and spatio-temporal models have primarily been developed for LSD endemic countries and focus on the spread of the disease in terms of environmental factors in relation to previous LSD events. There were very few studies on LSD-free countries, and these only focussed on risk of LSD introduction through specific entry pathways. This review did not identify any literature exploring the risk of spread of LSDV following introduction in LSD-free countries or geospatial modelling of the suitability of LSD-free countries for LSDV incursions. In conjunction with the risk parameters and models described in the identified literature, there is need to consider a wide range of risk factors specific to Australia to inform the design of risk-based surveillance for LSD in Australia.
结节性皮肤病(LSD)是由痘病毒结节性皮肤病病毒(LSDV)引起的一种媒介传播感染,是牛、水牛和爪哇野牛的一种严重疾病。虽然澳大利亚从未发生过这种疾病,但由于该疾病在亚洲持续传播,它被视为对澳大利亚养牛业日益严重的威胁。地理空间决策支持工具的开发,如空间流行病学建模,可能有助于评估面临这种威胁风险更高的地区。为了指导疾病建模方法的设计以支持未来基于风险的监测,需要对现有的LSDV流行病学模型进行评估。在本研究中,我们进行了文献综述,以评估现有的LSDV流行病学模型,确定LSDV引入和传播的关键风险因素,并考虑以前采用的控制策略。PRISMA指南用于确定文章选择和信息提取的流程,PICO流程用于制定检索词。从符合我们纳入标准的研究中,我们提取了有关LSDV流行病学模型结构和参数化、LSDV传播和扩散的风险因素以及生物安全控制策略的信息。文献检索从四个数据库共检索到402篇文章,其中68篇在筛选后被确定纳入本综述。在审查的68篇文章中,47篇探讨了与LSDV传播和扩散相关的风险因素,4篇探讨了LSDV引入的风险因素,4篇探讨了无LSD国家现有的监测策略,14篇介绍了流行病学模型。我们的研究结果表明,在LSD流行国家,LSDV传播存在多种风险因素,包括感染媒介如厩蝇的远距离空中移动以及国家间陆地边境的牛群移动。LSDV在LSD流行国家传播的关键风险因素包括物理环境特征、天气条件以及牲畜和媒介的种群分布。我们的结果表明,虽然已经进行了各种建模研究,但大多数研究通过实验探索了LSD在媒介和牛群中的传播机制。空间和时空模型主要是为LSD流行国家开发的,并且根据与以前LSD事件相关的环境因素来关注疾病的传播。关于无LSD国家的研究非常少,并且这些研究仅关注通过特定入境途径引入LSD的风险。本综述未发现任何探讨LSDV在无LSD国家引入后传播风险或无LSD国家对LSDV入侵适宜性的地理空间建模的文献。结合已识别文献中描述的风险参数和模型,有必要考虑一系列特定于澳大利亚的风险因素,以为澳大利亚LSD基于风险的监测设计提供信息。