ArticlePublic health nursing (Boston, Mass.)2023
Assessing community response to wildfire smoke: A multimethod study using social media.
Article in Public health nursing (Boston, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Behavioral responses to wildfire smoke: Insights from smartphone location data.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Monitoring Public Health During the 2023 Maui Wildfire Using Google Search Trends.Hawai'i journal of health & social welfare · 2026Article
- Physical Activity Dependence on Relative Temperature and Humidity Characteristics in a Young, Insufficiently Active Population: A Weather Typing Analysis.Journal of physical activity & health · 2024Article
- Clearing the air: evaluating institutions' social media health messaging on wildfire and smoke risks in the US Pacific Northwest.BMC public health · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectiveThe 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
designSearch 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
resultsSeasonal 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.
conclusionsSocial 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.
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Registered trials
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