Suppr超能文献

突发公共卫生事件污名的形成机制与治理策略——基于事件系统理论

Formation mechanism and governance strategies of stigma in public health emergencies: Based on event system theory.

机构信息

Management College, Beijing Union University, Beijing, China.

School of Management and Economics, Beijing Institute of Technology, Beijing, China.

出版信息

Front Public Health. 2023 Jan 11;10:1067693. doi: 10.3389/fpubh.2022.1067693. eCollection 2022.

Abstract

INTRODUCTION

With the new coronavirus (COVID-19) pandemic across the world, it is critical to propose effective strategies for stigma governance in public health emergencies in order to reduce negative effects caused by stigma. However, no known research has focused on the essential role of events in understanding stigma phenomenon from the perspective of external dynamic changes.

METHODS

Based on the event system theory, this paper analyzes the evolution mode and characteristics of specific events in the process of stigmatization from strength, space and time aspects, and taking COVID-19 event as an example, 1202 questionnaires and empirical analysis were conducted.

RESULTS AND DISCUSSION

Our results reveal that event strength directly affects the results of stigmatization, and such impact appears to be more prominent with a novel, disruptive and critical event. In addition, spatial and temporal attributes represent the dynamic development of an event, and they can interact with event strength to regulate the relationship between event strength and outcomes. Finally, stigma governance strategies under public health emergencies from three aspects of event strength, space, and time were put forward.

摘要

简介

随着新冠病毒(COVID-19)在全球范围内的爆发,提出公共卫生突发事件中针对污名化的有效治理策略至关重要,以减轻污名化带来的负面影响。然而,目前尚无研究从外部动态变化的角度关注事件在理解污名现象方面的重要作用。

方法

基于事件系统理论,本文从强度、空间和时间三个方面分析了污名化过程中特定事件的演变模式和特征,并以 COVID-19 事件为例,进行了 1202 份问卷和实证分析。

结果与讨论

我们的结果表明,事件强度直接影响污名化的结果,而具有新颖性、颠覆性和关键性的事件会产生更显著的影响。此外,空间和时间属性代表了事件的动态发展,它们可以与事件强度相互作用,调节事件强度与结果之间的关系。最后,从事件强度、空间和时间三个方面提出了公共卫生突发事件中的污名化治理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5d/9874323/191fb928a4c2/fpubh-10-1067693-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验