Department of Zoology, University of Oxford, Oxford, UK.
Mathematics Institute, University of Warwick, Coventry, UK.
J R Soc Interface. 2022 Feb;19(187):20210709. doi: 10.1098/rsif.2021.0709. Epub 2022 Feb 16.
When vaccinating a large population in response to an invading pathogen, it is often necessary to prioritize some individuals to be vaccinated first. One way to do this is to choose individuals to vaccinate based on their location. Methods for this prioritization include strategies that target those regions most at risk of importing the pathogen, and strategies that target regions with high centrality on the travel network. We use a simple infectious disease epidemic model to compare a risk-targeting strategy to two different centrality-targeting strategies based on betweenness centrality and random walk percolation centrality, respectively. We find that the relative effectiveness of these strategies in reducing the total number of infections varies with the basic reproduction number of the pathogen, travel rates, structure of the travel network and vaccine availability. We conclude that when a pathogen has high spreading capacity, or when vaccine availability is limited, centrality-targeting strategies should be considered as an alternative to the more commonly used risk-targeting strategies.
当针对入侵病原体对大量人群进行接种疫苗时,通常需要优先为一些人接种疫苗。一种方法是根据他们的位置选择接种疫苗的人。这种优先级排序的方法包括针对最有可能引入病原体的地区的策略,以及针对旅行网络中心度高的地区的策略。我们使用一个简单的传染病流行模型,将风险定位策略与基于介数中心度和随机游走渗流中心度的两种不同的中心度定位策略进行了比较。我们发现,这些策略在减少总感染人数方面的相对有效性因病原体的基本繁殖数、旅行率、旅行网络结构和疫苗供应而有所不同。我们得出的结论是,当病原体具有高传播能力时,或者当疫苗供应有限时,应考虑采用基于中心度的策略作为更常用的风险定位策略的替代方案。