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加利福尼亚州北部的健康机构和公众对 COVID-19 及疫苗接种在 Facebook 上的帖子之间存在分歧。

Dissonance between posts of health agencies and public comments regarding COVID-19 and vaccination on Facebook in Northern California.

机构信息

Department of Communication, Clemson University, Clemson, SC, USA.

Department of Communication, University of Utah, Salt Lake City, UT, USA.

出版信息

BMC Public Health. 2024 Sep 30;24(1):2672. doi: 10.1186/s12889-024-20191-8.

Abstract

BACKGROUND

Public health crises, such as the COVID-19 pandemic, have prompted a need for health agencies to improve their disease preparedness strategies, informing their communities of new information and promoting preventive behaviors to help curb the spread of the virus.

METHODS

We ran unsupervised machine learning and emotion analysis, validated with manual coding, on posts of health agencies (N = 1588) and their associated public comments (N = 7813) during a crucial initial period of the COVID-19 pandemic (January 2020 to February 2021) among nine different counties with a higher proportion of vaccine-hesitant communities in Northern California. In addition, we explored differences in concerns and expressed emotions by two key group-level factors, county-level COVID-19 death rate and political party affiliation.

RESULTS

We consistently find that while health agencies primarily disseminated information about COVID-19 and the vaccine, they failed to address the concerns of their communities as expressed in public comment sections. Topics among public audiences focused on concerns with the COVID-19 vaccine safety and rollout, state mandates, flu vaccination, and frustration with politicians, and they expressed more positive and more negative emotions than health agencies. Further, there were several differences in primary topics and emotions expressed among public audiences by county-level COVID-19 death rate and political party affiliation.

CONCLUSION

While this research serves as a case study, findings indicate how local health agencies, and their audiences, discuss their perceptions and concerns regarding the COVID-19 pandemic and may inform health communication researchers and practitioners on how to prepare and manage for emerging health crises.

摘要

背景

公共卫生危机,如 COVID-19 大流行,促使卫生机构需要改进其疾病防范策略,向社区通报新信息并促进预防行为,以帮助遏制病毒传播。

方法

我们对公共卫生机构(N=1588)的帖子及其相关公众评论(N=7813)进行了无监督机器学习和情绪分析,并通过手动编码进行了验证,这些帖子是在 COVID-19 大流行的一个关键初始阶段(2020 年 1 月至 2021 年 2 月)期间在加利福尼亚州北部的九个县进行的,这些县的疫苗犹豫社区比例较高。此外,我们还通过两个关键的群体因素(县 COVID-19 死亡率和政党归属),探讨了担忧和表达的情绪差异。

结果

我们一致发现,尽管卫生机构主要传播有关 COVID-19 和疫苗的信息,但它们未能解决公众评论部分中社区所表达的关切。公众关注的话题主要集中在对 COVID-19 疫苗安全性和推出、州政府强制要求、流感疫苗接种以及对政客的不满,并且他们表达了比卫生机构更多的积极和消极情绪。此外,在公众关注的主要话题和情绪表达方面,县 COVID-19 死亡率和政党归属存在差异。

结论

虽然这项研究是一个案例研究,但研究结果表明了地方卫生机构及其受众如何讨论他们对 COVID-19 大流行的看法和担忧,并为卫生传播研究人员和从业人员提供了有关如何为新兴卫生危机做好准备和管理的信息。

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