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Insights from Twitter About Public Perceptions of Asthma, COPD, and Exposures.
OBJECTIVE: The aim of this study was to analyze tweets concerning asthma and chronic obstructive pulmonary disease (COPD).
METHODS: Approximately 40,000 tweets containing asthma or COPD were analyzed. Lexical analysis ranked terms and domains of interest, compared COPD with asthma tweets, evaluated co-occurrence of terms within tweets, and assessed differences by source (personal, institutional, or retweet). The frequency of indicator terms relevant to occupational health was determined.
RESULTS: Many tweets address community pollution and effects on children, but there is much less interest in work-related factors and occupational regulatory agencies. Environment is considered much more relevant for asthma than COPD.
CONCLUSION: Although epidemiologic studies demonstrate a major burden of occupational factors upon both diseases, significantly improved outreach is needed to overcome inadequate public interest. Social media represent a valuable resource for assessing perceptions about work-related disease and potentially discovering new associations.
METHODS: Approximately 40,000 tweets containing asthma or COPD were analyzed. Lexical analysis ranked terms and domains of interest, compared COPD with asthma tweets, evaluated co-occurrence of terms within tweets, and assessed differences by source (personal, institutional, or retweet). The frequency of indicator terms relevant to occupational health was determined.
RESULTS: Many tweets address community pollution and effects on children, but there is much less interest in work-related factors and occupational regulatory agencies. Environment is considered much more relevant for asthma than COPD.
CONCLUSION: Although epidemiologic studies demonstrate a major burden of occupational factors upon both diseases, significantly improved outreach is needed to overcome inadequate public interest. Social media represent a valuable resource for assessing perceptions about work-related disease and potentially discovering new associations.
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