Institute of Biodiversity, Animal Health, and Comparative Medicine, University of Glasgow, Glasgow, Scotland.
Institute of Epidemiology, Friedrich Loeffler Institute, Isle of Reims, Greifswald, Germany.
PLoS One. 2020 May 29;15(5):e0220592. doi: 10.1371/journal.pone.0220592. eCollection 2020.
Infectious diseases are often transmitted through local interactions. Yet, both surveillance and control measures are implemented within administrative units. Capturing local transmission processes and spatial coupling between regions from aggregate level data is therefore a technical challenge that can shed light on both theoretical questions and practical decisions. Fox rabies has been eliminated from much of Europe through oral rabies vaccination (ORV) programmes. The European Union (EU) co-finances ORV to maintain rabies freedom in EU member and border states via a cordon sanitaire. Models to capture local transmission dynamics and spatial coupling have immediate application to the planning of these ORV campaigns and to other parts of the world considering oral vaccination. We fitted a hierarchical Bayesian state-space model to data on three decades of fox rabies cases and ORV campaigns from Eastern Germany. Specifically, we find that (i) combining regional spatial coupling and heterogeneous local transmission allows us to capture regional rabies dynamics; (ii) incursions from other regions account for less than 1% of cases, but allow for re-emergence of disease; (iii) herd immunity achieved through bi-annual vaccination campaigns is short-lived due to population turnover. Together, these findings highlight the need for regular and sustained vaccination efforts and our modelling approach can be used to provide strategic guidance for ORV delivery. Moreover, we show that biological understanding can be gained from inference from partially observed data on wildlife disease.
传染病通常通过局部相互作用传播。然而,监测和控制措施都是在行政单位内实施的。因此,从综合数据中捕捉局部传播过程和区域之间的空间耦合是一个技术挑战,可以为理论问题和实际决策提供启示。通过口服狂犬病疫苗(ORV)计划,狐狸狂犬病已在欧洲大部分地区得到消除。欧盟(EU)通过卫生带共同资助 ORV,以通过卫生带维持欧盟成员国和边境国家的狂犬病自由。捕捉局部传播动态和空间耦合的模型可直接应用于这些 ORV 运动的规划,以及世界其他考虑口服疫苗接种的地区。我们根据德国东部 30 年来狐狸狂犬病病例和 ORV 运动的数据,拟合了一个分层贝叶斯状态空间模型。具体而言,我们发现:(i)结合区域空间耦合和异质局部传播,可以捕捉到区域狂犬病动态;(ii)来自其他地区的传入病例不到病例的 1%,但允许疾病再次出现;(iii)由于人口流动,两年一次的疫苗接种运动所产生的群体免疫力是短暂的。这些发现共同强调了定期和持续进行疫苗接种工作的必要性,并且我们的建模方法可用于为 ORV 接种提供战略指导。此外,我们表明,可以从野生动物疾病的部分观测数据中推断出生物学认识。