论文标题
使用分区策略在多路复用网络中建模部分锁定
Modeling partial lockdowns in multiplex networks using partition strategies
论文作者
论文摘要
在几个国家强加了全国居住的命令或封锁，以大大减少主要负责SARS-COV-2病毒传播的社会互动。尽管对于减慢199日大流行至关重要，但这些遏制措施与经济负担有关。在这项工作中，我们提出了一种网络方法，以模拟部分锁定的实施，将社会分解为断开的组件或分区。我们的模型由两种主要成分组成：代表人类接触在不同情况下的多重网络，由家庭层形成，工作层和第三个社会层，包括通用社交互动，以及模仿流行病扩散的易感性感染的回收过程。我们将不同的分区策略与双重目标进行比较：减少流行病爆发并最大程度地减少与部分锁定相关的经济成本。我们还表明，包含不受约束的社会互动会大大增加流行病的传播，而对社会互动的各种限制有助于保持网络分区的恩惠。
National stay-at-home orders, or lockdowns, were imposed in several countries to drastically reduce the social interactions mainly responsible for the transmission of the SARS-CoV-2 virus. Despite being essential to slow down the COVID-19 pandemic, these containment measures are associated with an economic burden. In this work, we propose a network approach to model the implementation of a partial lockdown, breaking the society into disconnected components, or partitions. Our model is composed by two main ingredients: a multiplex network representing human contacts within different contexts, formed by a Household layer, a Work layer, and a third Social layer including generic social interactions, and a Susceptible-Infected-Recovered process that mimics the epidemic spreading. We compare different partition strategies, with a twofold aim: reducing the epidemic outbreak and minimizing the economic cost associated to the partial lockdown. We also show that the inclusion of unconstrained social interactions dramatically increases the epidemic spreading, while different kinds of restrictions on social interactions help in keeping the benefices of the network partition.
