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评估社区对野火烟雾的反应:一项使用社交媒体的多方法研究。

Assessing community response to wildfire smoke: A multimethod study using social media.

机构信息

Washington State University College of Nursing, Spokane, Washington, United States.

Oregon Department of Environmental Quality, Portland, Oregon, United States.

出版信息

Public Health Nurs. 2023 Jan;40(1):153-162. doi: 10.1111/phn.13140. Epub 2022 Nov 7.

DOI:10.1111/phn.13140
PMID:36345609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9839534/
Abstract

OBJECTIVE

The purpose of this study was to assess health-related responses to wildfire smoke on social media. We examined whether seasonal wildfire smoke is an active topic on Twitter, the correlation between fine particulate matter (PM ) and Twitter search terms, and dimensions of community-level expression to wildfire smoke through tweets.

DESIGN

Search terms were identified using a conceptual model developed and refined by healthcare providers and public health experts. Wildfire-related tweets were downloaded from Twitter users in Spokane, Washington during the 2017 and 2018 wildfire seasons. PM data were correlated with the search terms. A subset of tweets was deductively and then inductively coded to identify perceptions and behavioral responses to wildfire smoke.

RESULTS

Seasonal wildfire smoke is an active topic on Twitter. The term "smoke" was strongly correlated with poor air quality and "unhealthy" was moderately correlated. Deductive analyses revealed a multidimensional response to wildfire smoke. Inductive analysis identified new areas of concern, such as pet and animal health.

CONCLUSIONS

Social media is a lens through which public health professionals can assess and respond to local community needs. Findings will be used to broaden the conceptual model, enhance ongoing surveillance of community-identified health risks, and communicate protective actions.

摘要

目的

本研究旨在评估社交媒体上与野火烟雾相关的健康反应。我们考察了季节性野火烟雾是否是 Twitter 上的一个活跃话题、细颗粒物 (PM ) 与 Twitter 搜索词之间的相关性,以及通过推文表达的社区层面对野火烟雾的维度。

设计

使用医疗保健提供者和公共卫生专家制定和完善的概念模型来确定搜索词。在 2017 年和 2018 年野火季节,从华盛顿州斯波坎的 Twitter 用户那里下载与野火相关的推文。将 PM 数据与搜索词相关联。从推文中提取出一个子集,然后进行演绎和归纳编码,以确定对野火烟雾的看法和行为反应。

结果

季节性野火烟雾是 Twitter 上的一个活跃话题。“烟雾”一词与空气质量差呈强相关,“不健康”呈中度相关。演绎分析揭示了对野火烟雾的多维反应。归纳分析确定了新的关注点,如宠物和动物健康。

结论

社交媒体是公共卫生专业人员评估和应对当地社区需求的一个视角。研究结果将用于扩展概念模型,加强对社区确定的健康风险的持续监测,并传达保护措施。

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Misinformation and Disinformation: The Potential Disadvantages of Social Media in Infectious Disease and How to Combat Them.错误信息和虚假信息:社交媒体在传染病方面的潜在劣势,以及如何应对这些劣势。
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What can we do when the smoke rolls in? An exploratory qualitative analysis of the impacts of rural wildfire smoke on mental health and wellbeing, and opportunities for adaptation.当烟雾弥漫时我们能做什么?农村野火烟雾对心理健康和福祉的影响及其适应机会的探索性定性分析。
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Efficacy of Communication Techniques and Health Outcomes of Bushfire Smoke Exposure: A Scoping Review.沟通技巧对丛林大火烟雾暴露健康结果的影响:范围综述。
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Wildfire Smoke Risk Communication Efficacy: A Content Analysis of Washington State's 2018 Statewide Smoke Event Public Health Messaging.野火烟雾风险沟通效果:对华盛顿州 2018 年全州烟雾事件公共卫生信息传递的内容分析。
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Community Vulnerability to Health Impacts of Wildland Fire Smoke Exposure.社区对野火烟雾暴露所致健康影响的脆弱性。
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