Reliable and efficient real-time tools for collecting and analyzing large health datasets

用于收集和分析大型健康数据集的可靠且高效的实时工具

• 批准号: RGPIN-2017-05377
• 负责人: Mago, Vijay
• 金额: $ 1.46万
• 依托单位: Lakehead University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634440
• 关键词: Reliable; efficient; real; time; tools

Research suggests that more and more people rely on online sources for health information including symptoms, treatments and general health-related advice. Moreover, the user behaviour of millions of users currently active on social media demonstrates an openness to share facts related to their current health status. Such data could be used to provide real-time tracking and prediction of the spread of disease and other health concerns, or provide vital information about the effectiveness of the public health awareness strategies of health agencies such as Health Canada, the Centre for Disease Control or the World Health Organization. However, our current understanding of online health data produced through social networks is limited in important ways: (a) existing databases are project specific and data gathering mechanisms are time-constrained; (b) existing health-tracking tools depend on single interfaces such as Facebook, Twitter or Instagram, and (c) there is a lack of capacity for real-time mapping of health care issues.

研究表明，越来越多的人依靠在线资源获得健康信息，包括症状，治疗和一般健康相关建议。此外，目前活跃在社交媒体上的数百万用户的用户行为表明，他们愿意分享与其当前健康状况有关的事实。这些数据可用于实时跟踪和预测疾病和其他健康问题的传播，或提供关于加拿大卫生部、疾病控制中心或世界卫生组织等卫生机构公共卫生意识战略有效性的重要信息。然而，我们目前对通过社交网络产生的在线健康数据的了解在一些重要方面受到限制：（a）现有数据库针对具体项目，数据收集机制受到时间限制;（B）现有健康跟踪工具依赖于单一界面，如脸书、推特或Instagram;（c）缺乏对保健问题进行实时绘图的能力。