Suppr超能文献

数字健康技术在 COVID-19 监测和康复中的作用:以长程新冠患者为例。

The role of digital health technologies in COVID-19 surveillance and recovery: a specific case of long haulers.

机构信息

Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, USA.

Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Int Rev Psychiatry. 2021 Jun;33(4):412-423. doi: 10.1080/09540261.2020.1854195. Epub 2021 Apr 16.

Abstract

Digital health and technologies are essential to curbing the novel coronavirus 2019 (COVID-19) pandemic especially with shelter-in-place and social distancing orders. Epidemiologists and public health officials are tapping into frequently used technologies like wearables, digital devices, digital and social media data to detect and validate COVID-19 symptoms throughout the pandemic, especially during early stages when symptoms were evolving. In this article, we review how digital technologies and social media platforms can identify and inform our understanding of COVID-19 pandemic surveillance and recovery efforts. We analyze Reddit narrative posts and comments on r/covidlonghaulers to demonstrate how social media can be used to better understand COVID-19 pandemic. Using Reddit data, we highlight long haulers' patient journeys and shed light on potential consequences of their condition. We identified 21 themes, of which the following were significantly associated with valence: COVID-19 Symptoms ( = -0.037), medical advice ( = -0.030), medical system ( = -0.029), bodily processes ( = -0.020), questions ( = 0.024), physical activity ( = 0.033), self-differentials and negations ( = 0.040) and supplements ( = 0.025). Our brief literature review and analysis of r/covidlonghaulers narrative posts demonstrate the value of digital technologies and social media platforms as they act as modern avenues for public health, safety, and well-being.

摘要

数字健康和技术对于遏制新型冠状病毒 2019(COVID-19)大流行至关重要,尤其是在就地避难和社会隔离令的情况下。流行病学家和公共卫生官员正在利用可穿戴设备、数字设备、数字和社交媒体数据等常用技术,在整个大流行期间,尤其是在症状不断演变的早期阶段,检测和验证 COVID-19 症状。在本文中,我们回顾了数字技术和社交媒体平台如何识别和告知我们对 COVID-19 大流行监测和恢复工作的理解。我们分析了 Reddit 上有关 r/covidlonghaulers 的叙述性帖子和评论,以展示社交媒体如何用于更好地了解 COVID-19 大流行。我们使用 Reddit 数据突出显示了长期患者的就医经历,并揭示了他们病情的潜在后果。我们确定了 21 个主题,其中以下主题与情绪显著相关:COVID-19 症状( = -0.037)、医学建议( = -0.030)、医疗系统( = -0.029)、身体过程( = -0.020)、问题( = 0.024)、体育活动( = 0.033)、自我差异和否定( = 0.040)和补充剂( = 0.025)。我们对 r/covidlonghaulers 叙述性帖子的简短文献回顾和分析表明,数字技术和社交媒体平台具有重要价值,因为它们是公共卫生、安全和福祉的现代途径。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验