使用结构影响模型探讨美国拉丁裔/O/X/E 无证移民的 COVID-19 信息获取、认知和预防行为。

IF 3 3区 医学 Q1 COMMUNICATION Health Communication Pub Date : 2024-11-01 Epub Date: 2024-02-05 DOI:10.1080/10410236.2024.2309808
Nancy Molina-Rogers, Jennifer A Kam, Monica Cornejo, Roselia Mendez Murillo
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引用次数: 0

摘要

在 COVID-19 大流行的第一年,美国无证移民感染 COVID-19 的风险增加,因为他们中的许多人都是 "一线基本工人",居住在拥挤的生活空间。鉴于无证移民在 COVID-19 病毒的不确定性高峰期更容易感染 COVID-19,我们利用传播的结构影响模型来探讨:(1) 无证移民如何获得有关 COVID-19 的信息;(2) 他们如何评估信息的可信度和准确性;(3) 他们对 COVID-19 的看法;(4) 他们如何预防或管理 COVID-19。通过对居住在加利福尼亚州的 46 名拉丁裔/有色人种/无证移民进行半结构式访谈,我们发现了四个关键主题:(1) 对传统媒体的(不)信任,因为参与者严重依赖社交媒体获取 COVID-19 信息;(2) 弱关系和强关系在与不同层次的组织共同构建健康结果方面发挥了至关重要的作用;(3) 通过(不)直接经验了解 COVID-19;以及 (4) 通过健康知识和文化信仰应对 COVID-19。研究结果可为今后在危机(或 COVID-19 变体的不同爆发)期间接触高危移民社区的工作提供参考,并有望帮助减少健康不平等现象。
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Using the Structural Influence Model to Explore U.S. Latina/O/X/E Undocumented Immigrants' COVID-19 Information Acquisition, Perceptions, and Prevention Behaviors.

In the first year of the COVID-19 pandemic, U.S. undocumented immigrants were at heightened risk of contracting COVID-19, with many of them being "frontline essential workers" and residing in crowded living spaces. Given undocumented immigrants' elevated susceptibility to contracting COVID-19 at the peak of uncertainty surrounding the virus, we used the structural influence model of communication to explore: (1) how undocumented immigrants acquired information about COVID-19; (2) how they assessed information trustworthiness and accuracy; (3) their perceptions of COVID-19; and (4) how they prevented or managed COVID-19. Drawing from semi-structured interviews with 46 Latina/o/x/e undocumented immigrants residing in California, we found four key themes: (1) (dis)trust in traditional media as participants relied heavily on social media for COVID-19 information; (2) weak and strong ties played a crucial role in co-constructing health outcomes with different levels of organization; (3) learning about COVID-19 through (in)direct experiences; and (4) coping through health literacy and cultural beliefs. The study's findings can inform future efforts to reach highly-vulnerable immigrant communities during a crisis (or different outbreaks in COVID-19 variants), and hopefully, help reduce health inequities.

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来源期刊
CiteScore
8.20
自引率
10.30%
发文量
184
期刊介绍: As an outlet for scholarly intercourse between medical and social sciences, this noteworthy journal seeks to improve practical communication between caregivers and patients and between institutions and the public. Outstanding editorial board members and contributors from both medical and social science arenas collaborate to meet the challenges inherent in this goal. Although most inclusions are data-based, the journal also publishes pedagogical, methodological, theoretical, and applied articles using both quantitative or qualitative methods.
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