Endo Akira, Nishiura Hiroshi
Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kitaku, Sapporo 0608638, Japan.
Can J Infect Dis Med Microbiol. 2018 Mar 26;2018:3420535. doi: 10.1155/2018/3420535. eCollection 2018.
Migratory waterfowl annually migrate over the continents along the routes known as flyways, serving as carriers of avian influenza virus across distant locations. Prevalence of influenza varies with species, and there are also geographical and temporal variations. However, the role of long-distance migration in multispecies transmission dynamics has yet to be understood. We constructed a mathematical model to capture the global dynamics of avian influenza, identifying species and locations that contribute to sustaining transmission.
We devised a multisite, multispecies SIS (susceptible-infectious-susceptible) model, and estimated transmission rates within and between species in each geographical location from prevalence data. Parameters were directly sampled from posterior distribution under Bayesian inference framework. We then analyzed contribution of each species in each location to the global patterns of influenza transmission.
Transmission and migration parameters were estimated by Bayesian posterior sampling. The basic reproduction number was estimated at 1.1, slightly above the endemic threshold. Mallard was found to be the most important host with the highest transmission potential, and high- and middle-latitude regions appeared to act as hotspots of influenza transmission. The local reproduction number suggested that the prevalence of avian influenza in the Oceania region is dependent on the inflow of infected birds from other regions.
Mallard exhibited the highest transmission rate among the species explored. Migration was suggested to be a key factor of the global prevalence of avian influenza, as transmission is locally sustainable only in the northern hemisphere, and the virus could be extinct in the Oceania region without migration.
迁徙水鸟每年沿着被称为飞行路线的路径在各大洲迁徙,充当禽流感病毒在遥远地点之间的传播载体。流感的流行率因物种而异,也存在地理和时间上的差异。然而,长途迁徙在多物种传播动态中的作用尚不清楚。我们构建了一个数学模型来捕捉禽流感的全球动态,确定有助于维持传播的物种和地点。
我们设计了一个多地点、多物种的SIS(易感-感染-易感)模型,并根据流行率数据估计每个地理位置内物种之间以及物种内部的传播率。在贝叶斯推理框架下,参数直接从后验分布中抽样。然后,我们分析了每个地点的每个物种对流感传播全球模式的贡献。
通过贝叶斯后验抽样估计了传播和迁徙参数。基本再生数估计为1.1,略高于地方病阈值。绿头鸭被发现是最重要的宿主,具有最高的传播潜力,高纬度和中纬度地区似乎是流感传播的热点。局部再生数表明,大洋洲地区禽流感的流行率取决于来自其他地区的感染鸟类的流入。
在研究的物种中,绿头鸭的传播率最高。迁徙被认为是禽流感全球流行的一个关键因素,因为传播仅在北半球局部可持续,并且如果没有迁徙,病毒可能在大洋洲地区灭绝。