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新型冠状病毒肺炎大流行：在全球危机期间的灵活与笨拙沟通：保持公众信任和确保公共安全的高效沟通的重要教训。

The COVID-19 pandemic: agile versus blundering communication during a worldwide crisis: Important lessons for efficient communication to maintain public trust and ensure public safety.

机构信息

Head of Department Risk Communication, German Federal Institute for Risk Assessment, Berlin, Germany.

出版信息

EMBO Rep. 2021 Jun 4;22(6):e53182. doi: 10.15252/embr.202153182. Epub 2021 May 25.

DOI:10.15252/embr.202153182
PMID:34031969
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8183411/
Abstract

Governments' measures to control the COVID-19 pandemic and public reaction hold important lessons for science and risk communication in times of crisis.

摘要

政府控制 COVID-19 大流行的措施和公众的反应为危机时期的科学和风险沟通提供了重要的经验教训。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/8183411/79e8fa74fc26/EMBR-22-e53182-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/8183411/917dfacc562e/EMBR-22-e53182-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/8183411/58eb0c688fe5/EMBR-22-e53182-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/8183411/79e8fa74fc26/EMBR-22-e53182-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/8183411/917dfacc562e/EMBR-22-e53182-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/8183411/58eb0c688fe5/EMBR-22-e53182-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/8183411/79e8fa74fc26/EMBR-22-e53182-g002.jpg

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Assessment of German Public Attitudes Toward Health Communications With Varying Degrees of Scientific Uncertainty Regarding COVID-19.评估德国公众对与 COVID-19 相关的不同程度科学不确定性的健康传播的态度。
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Five rules for evidence communication.
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Communicating for the Safe Use of Medicines: Progress and Directions for the 2020s Promoted by the Special Interest Group of the International Society of Pharmacovigilance.促进安全用药沟通：国际药物警戒学会特别兴趣小组推动的2020年代进展与方向
Drug Saf. 2023 Jun;46(6):517-532. doi: 10.1007/s40264-023-01285-5. Epub 2023 May 23.
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Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China.通过中国微博帖子捕捉2019冠状病毒病疫情期间心理状态轨迹并分析网络公众反应
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