推特的社交流动数据显示,在COVID-19大流行期间,社交距离实践的人口统计变化
Paiheng Xu1, David A Broniatowski2, Mark Dredze3
1Department of Computer Science, University of Maryland, College Park, MD, 20742, USA.
Scientific reports
|January 12, 2024
概括
COVID-19社会距离遵守情况有所不同. 男人,老年人,亚洲人和拉丁人,民主党人和那些在密集的州的人减少了更多的流动性,告知公共卫生信息.
科学领域:
- 公共卫生 公共卫生
- 社会学 社会学 社会学
- 数据科学数据科学数据科学
背景情况:
- 随着COVID-19的爆发,人们越来越需要保持社交距离来控制病毒.
- 在大流行期间,遵守公共卫生指南在不同人群中不一致.
- 确定影响合规性的因素对于完善公共卫生沟通策略至关重要.
研究的目的:
- 在COVID-19期间分析来自Twitter的社会流动数据,以识别实行社交距离的人口.
- 调查人口和政治因素与减少身体流动性之间的相关性.
主要方法:
- 利用公共地理位置推特来衡量社会流动性的变化.
- 与人口统计数据 (如年龄,性别,种族) 和美国的政治归属相关的流动性减少.
- 研究了不同的人口和政治群体之间的相互作用.
主要成果:
- 在美国不同的人口和政治群体中观察到流动性减少的显著差异.
- 男人,亚洲人和拉丁人,老年人,民主党人和人口密度较高的州的居民在运动中表现出更大的减少.
- 该研究确定了有关移动性变化的不同人口群体之间的有意义的相互作用效应.
结论:
- 人口和政治因素在COVID-19大流行期间显著影响了社交距离行为.
- 调查结果可以为有针对性的公共卫生信息提供信息,以改善合规性和政策制定.
- 了解特定群体的流动模式对于有效应对疫情至关重要.
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