Public reaction to Chikungunya outbreaks in Italy-Insights from an extensive novel data streams-based structural equation modeling analysis.

摘要: The recent outbreak of Chikungunya virus in Italy represents a serious public health concern, which is attracting media coverage and generating interest terms Internet searches social interactions. Here, we sought to assess the Chikungunya-related digital behavior interplay between epidemiological figures novel data streams traffic. Reaction was analyzed Google Trends, News Twitter traffic, Wikipedia visits edits, PubMed articles, exploiting structural modelling equations. A total 233,678 page-views 150 edits on Italian page, 3,702 tweets, 149 scholarly 3,073 news articles were retrieved. relationship overall cases, as well autochthonous tweets production found be fully mediated by web searches. However, allochthonous/imported cases model, tweet not significantly figures, with still mediating production. Inconsistent relationships detected mediation models involving usage mediator variable. Similarly, effect consumption suppressed usage. further inconsistent case production, When adjusting for penetration index, similar findings could obtained, important exception that adjusted model GN partially Furthermore, link PubMed/MEDLINE GN, differently from what unadjusted model. In conclusion-a significant reaction current documented. Health authorities should aware this, recognizing role new technologies collecting concerns replying them, disseminating awareness avoid misleading information.