基于代理的社会模拟来应对健康危机:利用日常数字健康视角
Jason Tucker1, Fabian Lorig2,3
1Department of Global Political Studies, Faculty of Culture and Society, Malmö University, Malmö, Sweden.
Frontiers in public health
|February 1, 2024
概括
基于代理的社会模拟 (ABSS) 可以帮助医疗危机管理. 将日常数字健康视角纳入ABSS设计可以改善场景定义和政策干预的数据可用性.
科学领域:
- 医疗信息学 医疗信息学
- 计算社会科学 计算社会科学
- 公共卫生政策 公共卫生政策
背景情况:
- 人工智能 (AI) 系统越来越多地被认为具有管理健康危机的潜力.
- 基于代理的社会模拟 (ABSS) 提供了一种方法,通过模拟虚拟社会来分析政策干预的后果.
- 随着COVID-19大流行,使用ABSS进行协同政策干预的挑战突显出来,特别是定义有价值的情景和确保数据可用性.
研究的目的:
- 探索如何将"日常"数字健康视角纳入设计和实施健康危机管理ABSS的关键挑战.
- 加强ABSS的实用性,作为卫生危机期间政策制定者的工具.
主要方法:
- 这篇论文回顾了ABSS在卫生危机管理背景下的应用,重点关注COVID-19大流行.
- 它建议利用对"日常"数字健康视角的研究来改进ABSS设计和数据利用.
- 该研究强调了向数字健康技术的转变及其对政策的影响.
主要成果:
- 定义模拟的有价值的场景和获取适当的数据是ABSS在政策干预中的重大障碍.
- 将"日常"数字健康视角纳入ABSS设计可以减轻这些挑战.
- 这种方法可以为政策评估带来更强大和更相关的虚拟测试台.
结论:
- 在ABSS建模中考虑"日常"的数字健康视角对于有效的健康危机管理至关重要.
- 这种整合可以将ABSS转化为决策者面临未来健康危机的更强大的工具.
- 未来的研究应该专注于在ABSS框架内运行这一观点.
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