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Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana.利用数字信息和知识共创进行信息疫情管理以应对新冠疫苗犹豫:来自加纳的案例研究
JMIR Infodemiology. 2022 Jul 12;2(2):e37134. doi: 10.2196/37134. eCollection 2022 Jul-Dec.
2
World Health Organization's Early AI-supported Response with Social Listening Platform.世界卫生组织利用社交媒体聆听平台,提前做出人工智能支持的响应。
J Med Libr Assoc. 2022 Apr 1;110(2):273-275. doi: 10.5195/jmla.2022.1398.
3
Misinformation: susceptibility, spread, and interventions to immunize the public.错误信息:易感性、传播以及让公众免疫的干预措施。
Nat Med. 2022 Mar;28(3):460-467. doi: 10.1038/s41591-022-01713-6. Epub 2022 Mar 10.
4
E-Cigarette-Related Nicotine Misinformation on Social Media.社交媒体上与电子烟相关的尼古丁错误信息。
Subst Use Misuse. 2022;57(4):588-594. doi: 10.1080/10826084.2022.2026963. Epub 2022 Jan 22.
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Confidence and Hesitancy During the Early Roll-out of COVID-19 Vaccines Among Black, Hispanic, and Undocumented Immigrant Communities: a Review.新冠疫苗在非裔、拉丁裔和无证移民群体中的早期推广:信心与犹豫。
J Urban Health. 2022 Feb;99(1):3-14. doi: 10.1007/s11524-021-00588-1. Epub 2021 Dec 23.
6
Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations.新冠疫情期间的信息疫情信号检测:一种识别在线对话中潜在信息空白的方法的开发
JMIR Infodemiology. 2021 Jul 28;1(1):e30971. doi: 10.2196/30971. eCollection 2021 Jan-Dec.
7
COVID-19 vaccination intention in the first year of the pandemic: A systematic review.大流行第一年的 COVID-19 疫苗接种意愿:系统评价。
J Clin Nurs. 2022 Jan;31(1-2):62-86. doi: 10.1111/jocn.15951. Epub 2021 Jul 6.
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Stud Health Technol Inform. 2021 May 27;281:1036-1040. doi: 10.3233/SHTI210342.
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The Covid-19 Infodemic - Applying the Epidemiologic Model to Counter Misinformation.新冠疫情信息疫情——应用流行病学模型应对错误信息
N Engl J Med. 2021 Aug 19;385(8):678-681. doi: 10.1056/NEJMp2103798. Epub 2021 May 12.
10
COVID-19 as an "Infodemic" in Public Health: Critical Role of the Social Media.新型冠状病毒肺炎疫情期间的信息洪流对公共卫生的影响:社交媒体的关键作用。
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作为公共卫生监测手段的信息疫情监测的未来。

The Future of Infodemic Surveillance as Public Health Surveillance.

出版信息

Emerg Infect Dis. 2022 Dec;28(13):S121-S128. doi: 10.3201/eid2813.220696.

DOI:10.3201/eid2813.220696
PMID:36502389
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9745233/
Abstract

Public health systems need to be able to detect and respond to infodemics (outbreaks of misinformation, disinformation, information overload, or information voids). Drawing from our experience at the US Centers for Disease Control and Prevention, the COVID-19 State of Vaccine Confidence Insight Reporting System has been created as one of the first public health infodemic surveillance systems. Key functions of infodemic surveillance systems include monitoring the information environment by person, place, and time; identifying infodemic events with digital analytics; conducting offline community-based assessments; and generating timely routine reports. Although specific considerations of several system attributes of infodemic surveillance system must be considered, infodemic surveillance systems share several similarities with traditional public health surveillance systems. Because both information and pathogens are spread more readily in an increasingly hyperconnected world, sustainable and routine systems must be created to ensure that timely interventions can be deployed for both epidemic and infodemic response.

摘要

公共卫生系统需要能够检测和应对信息疫情(错误信息、虚假信息、信息过载或信息空白的爆发)。借鉴美国疾病控制与预防中心的经验,创建了 COVID-19 疫苗信心洞察报告系统,作为首批公共卫生信息疫情监测系统之一。信息疫情监测系统的主要功能包括按人员、地点和时间监测信息环境;通过数字分析识别信息疫情事件;进行线下社区评估;以及生成及时的常规报告。尽管必须考虑信息疫情监测系统的几个系统属性的具体考虑因素,但信息疫情监测系统与传统公共卫生监测系统有几个相似之处。由于信息和病原体在日益高度互联的世界中更容易传播,因此必须创建可持续和常规的系统,以确保可以及时采取干预措施,应对疫情和信息疫情。