INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Paris, France.
Computational Epidemiology Laboratory, Institute for Scientific Interchange (ISI), Turin, Italy.
PLoS Negl Trop Dis. 2020 May 26;14(5):e0008317. doi: 10.1371/journal.pntd.0008317. eCollection 2020 May.
Dog-transmitted rabies is responsible for more than 98% of human cases worldwide, remaining a persistent problem in developing countries. Mass vaccination targets predominantly major cities, often compromising disease control due to re-introductions. Previous work suggested that areas neighboring cities may behave as the source of these re-introductions. To evaluate this hypothesis, we introduce a spatially explicit metapopulation model for rabies diffusion in Central African Republic. Calibrated on epidemiological data for the capital city, Bangui, the model predicts that long-range movements are essential for continuous re-introductions of rabies-exposed dogs across settlements, eased by the large fluctuations of the incubation period. Bangui's neighborhood, instead, would not be enough to self-sustain the epidemic, contrary to previous expectations. Our findings suggest that restricting long-range travels may be very efficient in limiting rabies persistence in a large and fragmented dog population. Our framework can be applied to other geographical contexts where dog rabies is endemic.
犬传播的狂犬病在全球造成的人类病例超过 98%,在发展中国家仍是一个持续存在的问题。大规模疫苗接种的目标主要是主要城市,由于重新引入,往往会影响疾病控制。先前的工作表明,毗邻城市的地区可能是这些重新引入的源头。为了评估这一假设,我们引入了一个用于中非共和国狂犬病扩散的空间显式化的复合种群模型。该模型基于首都班吉的流行病学数据进行了校准,预测长距离运动对于跨越定居点的狂犬病暴露犬的持续重新引入是必要的,潜伏期的大幅波动使这种重新引入变得容易。相反,班吉的周边地区不足以自行维持疫情,这与先前的预期相反。我们的研究结果表明,限制长距离旅行可能是限制大型和分散的犬种群中狂犬病持续存在的非常有效的方法。我们的框架可以应用于其他存在犬狂犬病的地理背景。