研究人员开发了一个新的模拟框架，该框架使用大型语言模型（LLM）来模拟传染病爆发期间的个体决策。该框架将LLM生成的关于自我报告疾病的决策整合到合成人群中，并考虑了地点、收入和教育程度等因素。该研究模拟了旧金山和亚特兰大的结果，发现社会经济因素是报告率的主要驱动因素，地理位置和信息措辞也起着作用。 AI
影响 该框架可以通过提供受人类行为影响的更真实的疾病传播模拟来加强公共卫生干预措施。
排序理由 该集群包含一篇学术论文，详细介绍了使用LLM进行流行病学建模的新模拟框架。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
arXiv:2606.06360v1 Announce Type: new Abstract: Modelling individual decision-making during infectious disease outbreaks is crucial for understanding behavioural dynamics and informing effective public health interventions. Prior work has shown that large language models can simu…
Modelling individual decision-making during infectious disease outbreaks is crucial for understanding behavioural dynamics and informing effective public health interventions. Prior work has shown that large language models can simulate realistic human behaviour by generating age…
Modelling individual decision-making during infectious disease outbreaks is crucial for understanding behavioural dynamics and informing effective public health interventions. Prior work has shown that large language models can simulate realistic human behaviour by generating age…