Bettencourt-Silva Joao H, Mulligan Natasha, Jochim Charles, Yadav Nagesh, Sedlazek Walter, Lopez Vanessa, Gleize Martin
IBM Research Europe, Dublin, Ireland.
IBM Watson Health.
Stud Health Technol Inform. 2020 Nov 23;275:6-11. doi: 10.3233/SHTI200684.
Social determinants of health (SDoH) are the factors which lie outside of the traditional health system, such as employment or access to nutritious foods, that influence health outcomes. Some efforts have focused on identifying vulnerable populations during the COVID-19 pandemic, however, both the short- and long-term social impacts of the pandemic on individuals and populations are not well understood. This paper presents a pipeline to discover health outcomes and related social factors based on trending SDoH at population-level using Google Trends. A knowledge graph was built from a corpus of research literature (PubMed) and the social determinants that trended high at the start of the pandemic were examined. This paper reports on related social and health concepts which may be impacted by the COVID-19 outbreak and may be important to monitor as the pandemic evolves. The proposed pipeline should have wider applicability in surfacing related social or clinical characteristics of interest, outbreak surveillance, or to mine relations between social and health concepts that can, in turn, help inform and support citizen-centred services.
健康的社会决定因素（SDoH）是传统卫生系统之外的因素，如就业或获取营养食品的机会，这些因素会影响健康结果。在新冠疫情期间，一些努力集中在识别弱势群体上，然而，疫情对个人和人群的短期和长期社会影响尚未得到充分理解。本文提出了一个流程，用于基于谷歌趋势在人群层面发现健康结果和相关社会因素。从研究文献语料库（PubMed）构建了一个知识图谱，并研究了疫情开始时趋势较高的社会决定因素。本文报告了可能受新冠疫情影响且随着疫情发展可能需要监测的相关社会和健康概念。所提出的流程在揭示相关社会或临床特征、疫情监测或挖掘社会与健康概念之间的关系方面应具有更广泛的适用性，进而有助于为以公民为中心的服务提供信息和支持。
