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利用基于社区的方法实时追踪科特迪瓦的 COVID-19 谣言。

Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in Côte d'Ivoire.

机构信息

Johns Hopkins Bloomberg School of Public Health, Center for Communication Programs, Baltimore, Maryland, USA.

Johns Hopkins Center for Communication Programs-Côte d'Ivoire, Abidjan, Côte d'Ivoire.

出版信息

Glob Health Sci Pract. 2021 Jun 30;9(2):355-364. doi: 10.9745/GHSP-D-21-00031.

Abstract

Global misinformation and information overload have characterized the coronavirus disease (COVID-19) pandemic. Rumors are unverified pieces of information spreading online or person-to-person that reduce trust in health authorities and create barriers to protective practices. Risk communication and community engagement can increase transparency, build trust, and stop the spread of rumors. Building on previous work on Ebola and Zika viruses using Global Health Security Agenda systems strengthening support, the U.S. Agency for International Development-funded Breakthrough ACTION project developed a process and technology for systematically collecting, analyzing, and addressing COVID-19 rumors in real-time in Côte d'Ivoire. Rumors were submitted through community-based contributors and collected from callers to the national hotlines and then processed on a cloud-hosted database built on the open-source software District Health Information System 2 (DHIS2). Hotline teleoperators and data managers coded rumors in near-real-time according to behavioral theory frameworks within DHIS2 and visualized the findings on custom dashboards. The analysis and response were done in full collaboration with the Government of Côte d'Ivoire and implementing partners to ensure a timely and coordinated response. The system captured both widespread rumors consistent with misinformation in other settings, such as suspicions about case counts and the belief that masks were deliberately contaminated, as well as very localized beliefs related to specific influencers. The qualitative findings provided rapid insights on circulating beliefs, enabling risk communicators to nuance and tailor messaging around COVID-19.

摘要

全球错误信息和信息过载是冠状病毒病(COVID-19)大流行的特征。谣言是未经证实的信息,在网上或人与人之间传播,会降低人们对卫生当局的信任,并为保护措施设置障碍。风险沟通和社区参与可以提高透明度、建立信任,并阻止谣言的传播。美国国际开发署(USAID)资助的“突破行动”项目利用全球卫生安全议程系统加强支持,借鉴先前在埃博拉和寨卡病毒方面的工作经验,开发了一种在科特迪瓦实时系统地收集、分析和解决 COVID-19 谣言的流程和技术。谣言是通过社区贡献者提交的,并从国家热线呼叫者那里收集,然后在基于开源软件 District Health Information System 2(DHIS2)的云托管数据库上进行处理。热线运营商和数据管理员根据 DHIS2 中的行为理论框架实时对谣言进行编码,并在自定义仪表板上可视化发现结果。分析和响应是与科特迪瓦政府和实施伙伴充分合作进行的,以确保及时和协调的响应。该系统不仅捕获了与其他地方的错误信息一致的广泛谣言,例如对病例数的怀疑和认为口罩是故意污染的信念,还捕获了与特定影响者有关的非常本地化的信仰。定性发现提供了有关流传信仰的快速见解,使风险沟通者能够围绕 COVID-19 调整信息传递。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c73f/8324191/f4fcfe4b4184/GH-GHSP210041F001.jpg

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