English(EN) ABM-SIRTEM: A Hybrid Agent-Based and Epidemiological Model for Pandemic Response

新的混合模型整合了基于代理和流行病学方法以应对大流行病

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-16 06:53

研究人员开发了ABM-SIRTEM，一种结合了基于代理建模和流行病学方法来研究大流行病应对的新型混合模型。该模型考虑了个体异质性、经济生产力和干预措施的依从性，解决了先前模型过度简化个体行为或计算量过大的局限性。该框架使用来自美国四个州的COVID-19数据进行校准，以分析依从性动态并为大流行病应对规划提供信息。 AI

影响这种混合建模方法可以提高模拟疾病传播和公共卫生政策影响的准确性和效率。

排序理由该集群包含一篇详细介绍新建模框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.MA (Multiagent) 阅读 →

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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Jyotirmoy V. Deshmukh · 2026-09-16 06:53

ABM-SIRTEM：用于大流行病响应的混合体代理模型与流行病学模型

The COVID-19 pandemic has had profound impacts on global health, social structures, and economies. It disproportionately affected lower socioeconomic groups and those reliant on interaction-based jobs. Regulatory bodies faced the challenge of designing policies that preserve publ…

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ABM-SIRTEM：用于大流行病响应的混合体代理模型与流行病学模型

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