论文标题

非洲猪发烧的机械模型:系统评价

Mechanistic modeling of African swine fever: A systematic review

论文作者

Hayes, Brandon H, Andraud, Mathieu, Salazar, Luis G, Rose, Nicolas, Vergne, Timothee

论文摘要

非洲猪发烧(ASF)的传播对全球猪行业构成了严重威胁。了解传输动态,例如通过机械建模,对于设计有效的控制策略至关重要。在多个流行病学和模型特征中检查了文章。通过使用系统发育软件创建邻居加入的树来确定模型的修复。在34个有资格包含的文章中,确定了四个主要的建模目标:估计传输参数(11项研究),评估传播的决定因素(7),检查假设暴发的后果(5)和评估替代控制策略(11)。估计的传输参数变化差异很大,模型之间的参数假设也是如此。通常考虑对流行病学和生态参数的不确定性评估对建模感染轨迹的影响。几乎所有型号都是特定于主机的,这是为家猪或野猪开发的,尽管事实上,在国内猪和野猪之间的溢出事件证明在ASF爆发中起着重要作用。结合此类传输路线的模型的开发至关重要。所有比较的控制策略均已定义为先验,并应构建未来的模型,以确定许多控制方法的最佳贡献。此外,在竞争中审查了控制策略,反对如何协同实施它们。虽然比较策略对于确定控制方法的排序效果是有益的,但该结构并不一定决定所有可用策略的最有效组合。为了使ASFV模型有效地支持全球控制ASFV的决策,需要解决这些建模限制。

The spread of African swine fever (ASF) poses a grave threat to the global swine industry. Understanding transmission dynamics, such as through mechanistic modeling, is critical for designing effective control strategies. Articles were examined across multiple epidemiological and model characteristics. Model filiation was determined through creation of a neighbor-joined tree using phylogenetic software. Of 34 four articles qualifying for inclusion, four main modelling objectives were identified: estimating transmission parameters (11 studies), assessing determinants of transmission (7), examining consequences of hypothetical outbreaks (5), and assessing alternative control strategies (11). Estimated transmission parameters varied widely as did parameter assumptions between models. Uncertainties on epidemiological and ecological parameters were usually accounted for to assess the impact on the modeled infection trajectory. Almost all models are host specific, being developed for either domestic pigs or wild boar despite the fact that spillover events between domestic pigs and wild boar are evidenced to play an important role in ASF outbreaks. The development of models incorporating such transmission routes is crucial. All compared control strategies were defined a priori, and future models should be built to identify optimal contributions across many control methods. Further, control strategies were examined in competition, opposed to how they would be synergistically implemented. While comparing strategies is beneficial for identifying a rank-order efficacy of control methods, this structure does not necessarily determine the most effective combination of all available strategies. In order for ASFV models to effectively support decision-making in controlling ASFV globally, these modelling limitations need to be addressed.

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