论文标题
在巴西里奥格兰德do状态下，共同19-19大流行的一种光谱聚类方法
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil
论文作者
论文摘要
本文的目的是通过应用图理论工具，尤其是光谱聚类技术，在该州的167个城市中定义的加权图上，分析Rio Grande Do SUL中Covid-19大流行的演变，该工具是根据政府机构和其他来源和其他来源提供的10,000人口的167个城市。为了应对这次爆发，国家采用了一个系统，每周将预定的区域分配给标志，并根据指定的标志生效。我们的结果表明，考虑到对区域本身的灵活方法可能是一个有用的额外工具，可以使发病率较低的城市更加享受余地，同时关注公共安全。此外，模拟显示隔离对疾病传播的衰减作用。
The aim of this paper is to analyse the evolution of the COVID-19 pandemic in Rio Grande do Sul by applying graph-theoretical tools, particularly spectral clustering techniques, on weighted graphs defined on the set of 167 municipalities in the state with population 10,000 or more, which are based on data provided by government agencies and other sources. To respond to this outbreak, the state has adopted a system by which pre-determined regions are assigned flags on a weekly basis, and different measures go into effect according to the flag assigned. Our results suggest that considering a flexible approach to the regions themselves might be a useful additional tool to give more leeway to cities with lower incidence rates, while keeping the focus on public safety. Moreover, simulations show the dampening effect of isolation on the dissemination of the disease.
