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用地理空间社交媒体数据进行传染病研究:系统性审查
Fengrui Jing1,2, Zhenlong Li1,2, Shan Qiao2,3
1Geoinformation and Big Data Research Laboratory, Department of Geography, University of South Carolina, Columbia, SC, USA.
概括
地理空间社交媒体数据为传染病研究提供了宝贵的见解,有助于监测和理解. 未来的研究应该解决数据的局限性,并扩大用于增强公共卫生战略的应用.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 地理空间科学 地理空间科学
背景情况:
- 地理空间社交媒体 (GSM) 数据提供了丰富,及时和可访问的空间信息,对公共卫生有价值,特别是在传染病研究中.
- 在传染病研究中使用GSM数据的数量大幅增加,覆盖了各种疾病类型和空间尺度.
研究的目的:
- 综合利用GSM数据在传染病研究中的研究.
- 将GSM数据的应用分类为监控,解释和预测领域.
- 识别知识差距,并提出未来的研究方向.
主要方法:
- 2013年12月至2022年3月期间发表的86篇研究文章的系统审查.
- 基于传染病类型,空间水平和研究领域 (监测,解释,预测) 的研究分类.
- 在GSM数据研究中应用先进的统计和空间方法的分析.
主要成果:
- 在传染病监测和解释方面,GSM数据被广泛应用,但对预测的关注较少.
- 研究涵盖了12种传染病类型,跨越邻居到国家空间层面.
- 确定了四个关键的知识缺口:上下文信息的使用,应用范围,时空空间维度和数据限制.
结论:
- GSM数据是传染病研究的强大工具,特别是用于监测和了解疾病动态.
- 解决已识别的知识差距,例如改善情境信息的使用和克服数据限制,对于推进该领域至关重要.
- 未来的研究应该探索更广泛的应用范围,并加强GSM数据的时空分析,以实现更有效的公共卫生干预.
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