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基于社交媒体的新冠肺炎(COVID-19)研究进展
引用本文:吕瑾莨, 王万州, 张云静, 周江杰, 王胜锋. 基于社交媒体的新冠肺炎(COVID-19)研究进展[J]. 中华疾病控制杂志, 2020, 24(10): 1209-1214. doi: 10.16462/j.cnki.zhjbkz.2020.10.019
作者姓名:吕瑾莨  王万州  张云静  周江杰  王胜锋
作者单位:100191北京, 北京大学公共卫生学院流行病与卫生统计学系
基金项目:北京大学医学部立德树人奖助金项目
摘    要:2020年3月,世界卫生组织(World Health Organization,WHO)宣布,新型冠状病毒肺炎(coronavirus disease 2019,COVID-19)已发生全球性大流行。社交媒体作为一种实时开放的网络信息共享媒介,在疫情期间不仅为疫情信息监测与预判提供了有益数据来源,也为公众信息获取、医疗健康服务与舆情监测提供了重要途径,在疫情防控中体现出不可忽视的价值。然而,目前仍存在预测模型应用范围有限和易传播错误信息等缺陷。在全球化背景下,充分利用社交媒体及时、前瞻、敏感的监控优势,能够为COVID-19乃至未来新发传染病疫情的防控提供有益的思路和方法。未来可围绕如何制定基于社交媒体的预测流程范式以及消除数据共享壁垒等方面,逐步推进相关领域的方法优化与实践应用,为疫情防控提供支持和保障。

关 键 词:新型冠状病毒肺炎   社交媒体   信息监测   信息流行病学
收稿时间:2020-06-05
修稿时间:2020-07-16

Research progress of social media in coronavirus disease 2019 (COVID-19)
LYU Jin-liang, WANG Wan-zhou, ZHANG Yun-jing, ZHOU Jiang-jie, WANG Sheng-feng. Research progress of social media in coronavirus disease 2019 (COVID-19)[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(10): 1209-1214. doi: 10.16462/j.cnki.zhjbkz.2020.10.019
Authors:LYU Jin-liang  WANG Wan-zhou  ZHANG Yun-jing  ZHOU Jiang-jie  WANG Sheng-feng
Affiliation:Research progress of social media in coronavirus disease 2019 (COVID-19) LYU Jin-liang, WANG Wan-zhou, ZHANG Yun-jing, ZHOU Jiang-jie, WANG Sheng-feng Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
Abstract:In March of 2020, the World Health Organization (WHO) announced the occurrence of a global pandemic of coronavirus disease 2019 (COVID-19). As a real-time and widely accessible information sharing platform, social media not only provides an important data source for surveillance during the COVID-19 epidemic, but also serves as an important way for information acquisition, medical services and public opinion surveillance. Social media has shown great values in prevention and control of the disease, however, there are still many limitations in related areas, such as limited application of the prediction model and propagation of misinformation. In the context of globalization, making full use of social media's advantages of immediacy, sensitivity and interactivity can provide beneficial ways for prevention and control of COVID-19, and emerging infectious diseases. Further researches are recommended to center around themes of formulation of social media-based forecasting paradigm and elimination of data-sharing barriers. Much more efforts still needed for optimizing analysis techniques and methods, so as to provide guarantee for epidemic prevention and control.
Keywords:COVID-19  Social media  Infoveillance  Infodemiology
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