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为全球流行病准备制定研究优先事项:国际共识和与ChatGPT的输出进行比较
Peige Song1, Davies Adeloye2, Yubraj Acharya3
1School of Public Health and Women's Hospital, Zhejiang University School of Medicine, China.
Journal of global health
|February 22, 2024
概括
确定疫情准备的研究优先事项至关重要. 这项研究使用了儿童健康和营养研究倡议 (CHNRI) 方法,将结果与人工智能产生的优先事项进行比较,以加强全球健康安全战略.
科学领域:
- 全球健康 全球健康
- 流行病学 流行病学
- 公共卫生政策 公共卫生政策
背景情况:
- 未来的流行病准备和应对需要强有力的研究议程.
- 国际合作对于有效的全球卫生安全至关重要.
研究的目的:
- 确定主要的研究优先事项,以加强未来的流行病准备和应对.
- 为了比较人类驱动 (CHNRI) 和人工智能驱动 (ChatGPT) 的研究重点设定.
主要方法:
- 儿童健康和营养研究倡议 (CHNRI) 方法被国际全球健康学会 (ISoGH) 采用.
- 八十名全球卫生专家确定了163个研究想法,42名专家根据五个标准对这些想法进行了评分.
- 引导式分析 (n=1000) 用于计算优先级分数的95%置信区间.
主要成果:
- 关键的研究重点包括加强卫生系统,快速开发疫苗/治疗方法,国际合作和监测效率.
- 其他确定优先事项包括从COVID-19中学习,供应链管理,规划差距和公平干预.
- 与ChatGPT生成的优先级进行比较,发现了相似之处和差异,人工智能输出更以理论为基础,CHNRI更以经验为基础.
结论:
- 人类众包 (CHNRI) 和人工智能 (ChatGPT) 方法都为研究优先设定提供了有价值的,互补的见解.
- 应整合通过实践经验 (CHNRI) 和理论基础 (ChatGPT) 确定的优先事项.
- 解决发现的研究缺口,改善健康规划和加强初级医疗保健对于未来的流行病准备至关重要.
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