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arXiv 2005.07673physics.soc-phq-bio.PE
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地理传染病模型

Epidemic models with geography

Alan Wilson

摘要:

大多数流行病模型都是空间聚集的,最常用于规划和政策数字的指数r通常指的是单个感兴趣的系统。例如,即使计算每个相邻地区、区域或国家的r数,它们之间也没有相互作用。在这里,我们的目标是提供一个细粒度的地理:模型的流行病在空间分解系统的相互作用。这使人们有可能对流行病的动态以及旨在缓解和控制的政策有新的认识。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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