了解COVID-19对卫生工作人员的影响:人工智能辅助的开源媒体内容分析
Anita Pienkowska1, Mathieu Ravaut2, Maleyka Mammadova1
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
JMIR formative research
|June 13, 2024
概括
COVID-19大流行严重影响了卫生工作人员,薪酬不足和PPE短缺是关键问题. 通过适当的补偿和防护设备解决这些问题对于未来的流行病准备至关重要.
科学领域:
- 公共卫生 公共卫生
- 健康劳动力研究 卫生劳动力研究
- 计算社会科学 计算社会科学
背景情况:
- 调查COVID-19大流行对卫生工作人员的影响.
- 为新闻文章开发使用自然语言处理 (NLP) 和人类分析的框架.
- 用媒体见解来补充科学文献,以支持政策.
研究的目的:
- 系统地扫描媒体情报,而不是通过传统的学术道获取的情报.
- 为卫生工作人员提供COVID-19影响,贡献因素和政策响应的信息.
- 评估从开放来源快速收集卫生工作人员洞察力的可行性.
主要方法:
- 新闻文章的NLP辅助媒体内容分析 (2020年1月至2022年6月).
- 使用了世卫组织EIOS系统数据 (3,299,158篇文章).
- 采用基于规则的分类,NLP总结和演-诱导分析.
主要成果:
- 对5131篇文章的分析揭示了关键的破坏因素:薪酬不足,个人防护设备短缺和职业风险.
- 工业行动和心理健康负担与不充分的补偿有关.
- 随着流行病的进展,工作量和员工短缺的情况不断升级.
结论:
- 人工智能辅助的媒体内容分析对于研究卫生工作人员是有效的.
- 优先考虑薪酬和个人防护设备对于减轻流行病影响至关重要.
- 对情绪损失和工作负担的反应性措施对于卫生系统的弹性至关重要.
关键词:
在这里,我们可以看到AIAIAI.在 COVID-19 疫情中,在COVID-19大流行中,在NLP中,我们使用了NLP.这就是SARS-COV-2病毒.世界卫生组织 WHO WHO世界卫生组织世界卫生组织.人工智能的人工智能是人工智能.死亡风险 死亡风险在决策过程中做出决定.效率 效率 效率 效率 效率 效率 效率 效率医疗保健工作者 医疗保健工作者卫生工作人员的健康工作人员.人类生成的分析分析.创新 创新 创新 创新 创新 创新创新的方法创新的方法.干预干预干预干预干预干预媒体内容分析 媒体内容分析心理健康 心理健康自然语言处理自然语言处理.新闻文章新闻文章新闻文章新闻报道新闻报道新闻报道公共卫生公共卫生.公共监督是指公共监督.战略政策 战略政策监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督更多相关视频
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