为疫情准备和应对建立公民科学情报:在9个国家进行混合方法研究,以评估知识,准备和可行性
Yi-Roe Tan1, Manh Duc Nguyen2, Caroline Antonia Mubaira3
1HealthAI, Geneva, Switzerland yi-roe.tan@i-dair.org.
BMJ global health
|March 20, 2024
概括
公共卫生中的公民科学 (CS) 让公民参与研究,但意识和准备在全球范围内各不相同. 数字 CS 显示出对疫情应对的承诺,尽管包容性和培训是成功实施的关键.
科学领域:
- 公共卫生研究 公共卫生研究
- 公民科学 公民科学
- 数字健康数字健康
背景情况:
- 公民科学 (CS) 是一种新兴的公共卫生方法,利用集体智能.
- 在疫情文献中,对公民观点的理解有限,特别是来自难以接触的人群的观点.
- 需要评估低收入和中等收入国家 (LMICs) 疫情相关的CS的认识,准备和可行性.
研究的目的:
- 了解与疫情相关的公民科学 (CS) 的公众意识,准备和可行性.
- 探索LMIC中数字化CS的潜力和挑战.
- 收集来自不同人群的观点,包括边缘化群体.
主要方法:
- 在9个国家进行混合方法研究 (2022年10月 - 2023年6月).
- 通过民间社会招聘,针对一般,边缘化,青年和社区卫生工作者群体.
- 量化调查 (n=2912) 和聚焦小组讨论 (FGDs) 与年龄≥18岁的参与者.
主要成果:
- 各国的意识和参与程度各不相同;一些人群以前有CS经验.
- 一个共享的CS定义强调公众参与,协作和沟通.
- 76%的人对数字CS感兴趣,理由是方便和数据质量,但需要培训,并对包容性和数据安全表示担忧.
结论:
- CS的干预必须是特定于背景的,并且能够影响参与.
- 数字 CS 提供了疫情合作的潜力,但需要解决包容性的能力和访问.
- 可持续的参与需要考虑社会,文化和实际因素,包括激励和态度.
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