艾滋病毒研究中的数字流行病学方法:一个范围范围的方法审查
Lindsay E Young1, Yuanfeixue Nan2, Eugene Jang2
1Annenberg School for Communication and Journalism, University of Southern California, 3502 Watt Way, Los Angeles, CA, 90089, USA. lindsay.young@usc.edu.
Current HIV/AIDS reports
|November 2, 2023
概括
来自社交媒体和移动设备的用户生成的数字数据可以促进人类免疫缺陷病毒 (HIV) 研究. 然而,伦理考虑和不断变化的数据访问,特别是在后API环境中,需要仔细注意.
科学领域:
- 数字流行病学数字流行病学
- 公共卫生信息学 公共卫生信息学
- 人类免疫缺陷病毒 (HIV) 研究研究
背景情况:
- 用户生成的数字数据为公共卫生研究提供了新的途径.
- 之前的研究已经探索了各种数字数据源,以获得流行病学见解.
- 对人类免疫缺陷病毒 (HIV) 研究的非流行病学数据的整合是一个新兴领域.
研究的目的:
- 对使用用户生成的数字数据用于人类免疫缺陷病毒 (HIV) 研究的文献进行范围审查.
- 识别使用的数字数据类型及其在艾滋病毒研究中的应用.
- 探索该领域的方法和伦理考虑.
主要方法:
- 使用了范围审查方法.
- 在文献搜索中,发现了39篇相关论文.
- 数据提取侧重于数据类型,研究目标,分析方法和道德讨论.
主要成果:
- 确定了四种类型的数字数据:社交媒体,网络搜索查询,手机数据和全球定位系统 (GPS) 数据.
- 这些数据应用于艾滋病毒监测 (疾病,行为),公众关注评估和风险上下文表征.
- 在大约三分之一的研究中使用了机器学习,而在不到四分之一的研究中使用了伦理讨论.
结论:
- 用户生成的数字数据对监测,预测和将艾滋病毒风险置于环境中具有重大潜力.
- 该领域必须解决数字伦理问题,并适应数据可访问性的变化,例如应用程序编程接口 (API) 后的格局.
- 需要进一步的研究,以最大限度地利用数字数据,同时确保艾滋病毒研究的伦理实践.
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