论文标题
与地理学的流行模型
Epidemic models with geography
论文作者
论文摘要
大多数流行病模型都是空间汇总的，最用于计划和政策数字的指数通常是指单个感兴趣的系统。即使计算针对每个相邻区域，地区或国家 /地区的R号，它们之间也没有相互作用。在这里，我们旨在提供一个细粒度的地理：与交互作用的空间分类系统中的流行病模型。这提供了对旨在缓解和控制的流行病和政策动态的新见解的可能性。
Most epidemic models are spatially aggregate and the index which is most used for planning and policy numbers, the r number, typically refers to a single system of interest. Even if r numbers are calculated for each of adjacent areas, regions or countries for example, there is no interaction between them. Here we aim to offer a fine-grained geography: models of epidemics in spatially disaggregated systems with interactions. This offers the possibility of new insights into the dynamics of epidemics and of policies aimed at mitigation and control.
