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新冠疫情污名化:一项系统文献综述。

Covid-19 stigmatization: A systematic literature review.

作者信息

Kartono Rinikso, Sihidi Iradhad Taqwa

机构信息

Department of Social Welfare, Universitas Muhammadiyah Malang, Indonesia.

Department of Government Studies, Universitas Muhammadiyah Malang, Indonesia.

出版信息

J Public Health Res. 2022 Sep 7;11(3):22799036221115780. doi: 10.1177/22799036221115780. eCollection 2022 Jul.

Abstract

Covid-19 has severe implications for the emergence of negative stigmatization of specific individuals and community groups. Due to labeling and discrimination, mental attacks cause psychological distress so seriously that it requires proper handling. Therefore, this study aims to conduct a systematic literature review on articles on COVID-19 stigmatization. This paper used descriptive analysis that 248 articles are from the Scopus database obtained by keyword Covid-19 stigmatization in the 2020-2021 time span were then processed and visualized using the Vosviewer software. The results reveal the three most dominant concepts studied: anxiety, isolation, and knowledge. The Covid-19 stigma arises due to low public knowledge, widespread Covid-19 disinformation, and lack of trust in the government. This research contributes to a description of the root causes and adverse effects of stigmatization during Covid-19 to help formulate recommendations for preventive and treatment actions that can be taken. Meanwhile, the limitation of this research is that the articles reviewed are only sourced from Scopus, so they do not have comparative data. Therefore, future studies require using a comparative analysis approach that uses a Web of Science (WoS) database.

摘要

新冠疫情对特定个人和社区群体出现负面污名化现象产生了严重影响。由于标签化和歧视,精神攻击造成的心理困扰极为严重,需要妥善处理。因此,本研究旨在对有关新冠疫情污名化的文章进行系统的文献综述。本文采用描述性分析方法,从Scopus数据库中获取了2020 - 2021年期间通过关键词“新冠疫情污名化”检索到的248篇文章,然后使用Vosviewer软件进行处理和可视化。结果揭示了研究最多的三个主要概念:焦虑、隔离和知识。新冠疫情污名化的产生是由于公众知识水平低、新冠疫情虚假信息广泛传播以及对政府缺乏信任。本研究有助于描述新冠疫情期间污名化的根源和不良影响,以帮助制定可采取的预防和治疗行动建议。同时,本研究的局限性在于所审查的文章仅来自Scopus数据库,因此没有比较数据。因此,未来的研究需要采用使用科学引文索引(WoS)数据库的比较分析方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2ec/9459472/24ddea138c79/10.1177_22799036221115780-fig1.jpg

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