未来的智能联网社区应对COVID-19疫情
Deepti Gupta1, Smriti Bhatt2, Maanak Gupta3
1Department of Computer Science, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA.
概括
物联网 (IoT) 和人工智能 (AI) 可以创建智能,连接的社区,抵御流行病. 这些技术使得智能监控和积极预防公共卫生危机成为可能.
科学领域:
- 网络物理系统 网络物理系统
- 公共卫生技术 公共卫生技术
- 数据科学应用数据科学应用
背景情况:
- 随着COVID-19的流行,当前用于疾病控制的技术系统的局限性得到了凸显.
- 物联网 (IoT) 和人工智能 (AI) 为管理健康危机提供了潜在的解决方案.
研究的目的:
- 设想一个物联网和数据支持的生态系统,用于智能监控和控制COVID-19等流行病.
- 为"防疫"社区提供各种智能基础设施的协同应用.
主要方法:
- 使用亚马逊网络服务 (AWS) 构想一个支持云计算的物联网框架.
- 开发电子健康,智能家居,供应链,交通和智能城市的协同应用.
- 实施电子健康远程患者监控 (RPM) 使用案例.
主要成果:
- 一个拟议的框架和应用程序套件,用于构建弹性智能社区.
- 展示连接健康生态系统的实用性和必要性.
- 确定疫情防控的关键挑战和研究方向.
结论:
- 物联网和人工智能对于开发"防疫"智能社区至关重要.
- 需要一种协作方法来实施这些技术,以实现未来的公共卫生弹性.
- 进一步的研究和利益相关者合作对于有效的流行病管理至关重要.
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