关于过敏的英语推特:内容分析和与监测数据的关联
Bernardo Sousa-Pinto1,2, Slava Jankin3, Rafael José Vieira1,2
1MEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
概括
关于过敏性鼻炎的社交媒体帖子显示了与医疗数据相关的季节性趋势. 然而,关于喘的推文没有表现出类似的模式或与健康监测的相关性.
科学领域:
- 数字流行病学数字流行病学
- 社交媒体分析
- 公共卫生监督是对公共卫生的监督.
背景情况:
- 像X (以前的Twitter) 这样的社交媒体平台提供了对公共卫生观念的见解.
- 分析与健康相关的职位可以补充传统的监视方法.
- 这项研究调查了通过社交媒体对过敏状况的公共话语.
研究的目的:
- 分析社交媒体关于过敏,喘和过敏性鼻炎的讨论.
- 将社交媒体趋势与国家卫生监测数据进行比较.
- 评估公众情绪,并确定这些讨论中的关键话题.
主要方法:
- 从英格兰 (2016-2021) 收集了提到"过敏"",喘"或"过敏性鼻炎"的推文.
- 推特频率和情绪与喘和过敏性鼻炎的医疗访问数据相关.
- 采用情绪分析和主题建模来理解推特内容和情绪调.
主要成果:
- 分析了13,605条"过敏"",喘"7,767条和11,974条"过敏性鼻炎"的推文.
- 过敏性鼻炎的推特显示了与医疗访问相关的季节性频率和情绪模式 (频率 ρ=0.866,情绪 ρ=-0.474).
- 喘推特没有显示显著的季节性模式或与监测数据的相关性;所有疾病的整体情绪都是负面的.
结论:
- 对过敏性鼻炎的社交媒体分析揭示了季节性趋势,反映了公共卫生数据.
- X (以前的Twitter) 数据可以反映公众对过敏性鼻炎的参与.
- 对于喘,没有发现类似的相关性,这表明公共话语的动态不同.
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