通过设计难民营和境内流离失所者（IDP）营地来减缓疾病传播
Mitigating Disease Spread by Design in Refugee and IDP Camps
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中文总结 AI 辅助
本研究针对难民和IDP营地的疾病传播问题，构建方法探究营地布局的减缓作用，通过JUNE模型验证效果，为未来研究提供框架。
中文摘要 AI 辅助
疾病传播在难民和境内流离失所者（IDP）定居点中正成为日益严峻的挑战。营地内人员的流动与互动受营地布局影响，因此布局具备显著影响疾病传播的潜力。本研究旨在构建一套方法，以探究不同营地布局作为定居点内疾病传播减缓因素的潜在效果。我们利用JUNE基于智能体的流行病模型开展概念验证实验，探讨该方法可提供的运营洞察，并为未来研究提供框架。
英文摘要
Disease spread represents an increasing challenge in refugee and internally displaced person (IDP) settlements. The movement and interaction of people within camps is influenced by their layout, which therefore has the potential to significantly affect disease spread. This work aims at creating a methodology to explore the potential effects of different camp layouts as mitigating factors in the spread of diseases within settlements. We showcase proof-of-concept experiments by leveraging the JUNE agent-based epidemic model, discuss the kind of operational insights this methodology can facilitate, and provide a framework for future investigations.
发表机构
- United Nations Global Pulse（联合国全球脉冲）
- Institute of Data Science, Durham University（杜伦大学数据科学研究所）
机构由 AI 辅助整理，请以论文原文为准。
