社交媒体上的口罩制作:COVID-19大流行期间女性口罩制作实践和宣传

Mildred F. Perreault, Melanie B. Richards
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摘要

背景:COVID-19是由SARS-COV-2病毒引起的疾病,可对感染者造成严重的呼吸系统问题,甚至死亡。分享有关其风险和相关减少风险行为信息的个人有可能产生更广泛的健康影响。在大流行初期,一些人自制口罩,以解决个人防护装备供应有限的问题,并在社交媒体上发布了他们的努力。目的:了解危机与应急风险沟通(CERC)理论模型在危机早期有效信息传递中的基层应用。方法:研究人员采用个人访谈和观察相结合的方法,对15名在Covid-19大流行期间制作口罩的阿巴拉契亚妇女进行了研究,并分析了她们的9个社交媒体账户。结果:通过采访和观察,研究人员了解了口罩制造商如何利用社交媒体制作和分发口罩,并与社区互动。社交媒体信息通常包含行动呼吁、与该问题的个人联系,并支持口罩制造商努力接触更广泛的个人网络。讨论:对口罩制造商基层工作的评估将CERC框架扩展到个人层面。结论:本研究深入了解了基层卫生宣传的作用,以及用户生成的社交媒体信息在降低大流行风险中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mask making on social media: Women’s mask making practices and advocacy during the COVID-19 pandemic
Background: COVID-19, the disease caused by the virus SARS-COV-2, can create serious respiratory problems, or even death, for those affected. Individuals who share messages about its risks and related risk reduction behaviors have the potential to make a broader health impact. Early in the pandemic, some individuals made homemade masks to address the limited supply of personal protective equipment (PPE) and posted about their efforts on social media. Aim: To understand the grassroots application of the Crisis and Emergency Risk Communication (CERC) theoretical model concerning effective messages in early phases of a crisis. Methods: Using both individual interviews and observations, researchers conducted a study of 15 Appalachian women making masks during the Covid-19 pandemic and analyzed 9 of their social media accounts. Results: Through interviews and observations, the researchers gained understanding as to how mask makers used social media to create and distribute masks and engage their communities. Social media messages often contained calls to action, personal connections to the issue, and supported the mask makers’ efforts to reach a broader network of individuals. Discussion: An evaluation of the grassroots efforts of mask makers extends the CERC framework to the individual level. Conclusions: This study provides insight into the role of grassroots health advocacy, and the role of user-generated social media messaging in pandemic risk reduction.
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