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病毒感染传播和室内空气质量:系统性审查
Zahi Alqarni1, Yacine Rezgui2, Ioan Petri2
1School of Engineering, Cardiff University, Cardiff CF24 3AA, UK; School of Computer Science, King Khalid University, Abha 62529, Saudi Arabia.
本次审查考察了室内呼吸道病毒传播和室内空气质量 (IAQ) 控制. 未来的研究应该整合数字双胞胎和机器学习,以实现可持续的IAQ管理.
科学领域:
- 环境健康 环境健康
- 流行病学 流行病学
- 建筑科学 建筑科学
背景情况:
- 室内呼吸道疾病的传播,由COVID-19突出显示,需要改进的控制策略.
- 现有的研究往往忽视了室内空气质量 (IAQ) 管理中的关键因素,如特定的环境参数,占用率和能源消耗.
- 一项系统性审查发现,在了解病毒传播动态和IAQ控制方面存在差距,特别是在可持续性方面.
结论:
- 未来的研究应该利用数字双胞胎和机器学习 (ML) 来分析病毒传播模式并优化IAQ.
- 整合ML和数字双胞胎可以实现动态IAQ调整,考虑到能源消耗和特定的病毒风险.
- 需要采用整体方法来平衡有效的呼吸健康IAQ控制与能源可持续性.
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