A survey of social media data analysis for physical activity surveillance.
A survey of social media data analysis for physical activity surveillance.
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DOI：
10.1016/j.jflm.2016.10.019
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发表时间：
2018-07
影响因子：
1.5
通讯作者：
Young SD
中科院分区：
文献类型：
--
作者：
Liu S;Young SD
社交媒体数据可以提供有关人们行为和健康结果的有价值的信息。之前的研究表明，可以提取社交媒体数据来监测和预测传染病的爆发。这些相同的方法可以应用于其他领域，包括身体活动研究和法医学。社交媒体数据有可能提供特定地区身体活动水平的实时监测和预测。这一工具对公共卫生组织很有价值，因为它可以克服传统研究方法（例如调查、观察性研究）在报告身体活动流行病学数据方面的时滞。因此，该工具可以帮助公共卫生组织更好地动员和针对身体活动干预。本文的第一部分旨在描述可用于分析社交媒体数据以提供身体活动水平的实时监测的方法（例如，主题建模、情感分析和社交网络分析）。本文的第二个目的是讨论如何将社会媒体分析应用于其他领域，如法医学，并为进一步的社会媒体研究提供建议。
Social media data can provide valuable information regarding people’s behaviors and health outcomes. Previous studies have shown that social media data can be extracted to monitor and predict infectious disease outbreaks. These same approaches can be applied to other fields including physical activity research and forensic science. Social media data have the potential to provide real-time monitoring and prediction of physical activity level in a given region. This tool can be valuable to public health organizations as it can overcome the time lag in the reporting of physical activity epidemiology data faced by traditional research methods (e.g. surveys, observational studies). As a result, this tool could help public health organizations better mobilize and target physical activity interventions. The first part of this paper aims to describe approaches (e.g. topic modeling, sentiment analysis and social network analysis) that could be used to analyze social media data to provide real-time monitoring of physical activity level. The second aim of this paper was to discuss ways to apply social media analysis to other fields such as forensic sciences and provide recommendations to further social media research.
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