English(EN) Modelling socio-economic effects of the pandemic in a metropolitan area

新模型模拟赫尔辛基新冠疫情的社会经济影响

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 11:57

研究人员开发了一个扩展的数学模型，即BTH--SEIRS模型，用于模拟新冠疫情在城市地区的社会经济影响。该模型专门分析了出行减少及其对感染率和经济活动的影响。利用来自芬兰赫尔辛基的数据，包括手机出行数据、公共交通信息和住宿率，该模型准确地反映了现实世界的感染数据和经济趋势。研究强调了疫情在不同空间尺度上的行为差异，并确定了影响日常通勤模式的因素。 AI

影响这项研究为理解疫情期间公共卫生措施与社会经济成果之间的复杂相互作用提供了一个框架。

排序理由该集群包含一篇详细介绍新数学模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.MA (Multiagent) 阅读 →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新数学模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Maarit J. Korpi-Lagg · 2026-11-09 11:57

对大都市区疫情社会经济影响的建模

One of the most notorious measures taken by authorities in every country trying to prevent the uncontrollable spread of the Covid 19 pandemic was to impose severe measures to diminish the mobility of people. In recent publications we proposed a mathematical model to address the c…

本文如何被排名

报道来源 [1]

对大都市区疫情社会经济影响的建模

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