Search

Background: The emergence of social media is providing an alternative avenue for information exchange and opinion formation on health-related issues. Collective discourse in such media leads to the formation of a complex narrative, conveying public views and perceptions. Objective: This paper presents a study of Twitter narrative regarding vaccination in the aftermath of the 2015 measles outbreak, both in terms of its cyber and physical characteristics. We aimed to contribute to the analysis of the data, as well as presenting a quantitative interdisciplinary approach to analyze such open-source data in the context of health narratives. Methods: We collected 669,136 tweets referring to vaccination from February 1 to March 9, 2015. These tweets were analyzed to identify key terms, connections among such terms, retweet patterns, the structure of the narrative, and connections to the geographical space. Results: The data analysis captures the anatomy of the themes and relations that make up the discussion about vaccination in Twitter. The results highlight the higher impact of stories contributed by news organizations compared to direct tweets by health organizations in communicating health-related information. They also capture the structure of the antivaccination narrative and its terms of reference. Analysis also revealed the relationship between community engagement in Twitter and state policies regarding child vaccination. Residents of Vermont and Oregon, the two states with the highest rates of non-medical exemption from school-entry vaccines nationwide, are leading the social media discussion in terms of participation. Conclusions: The interdisciplinary study of health-related debates in social media across the cyber-physical debate nexus leads to a greater understanding of public concerns, views, and responses to health-related issues. Further coalescing such capabilities shows promise towards advancing health communication, thus supporting the design of more effective strategies that take into account the complex and evolving public views of health issues. [ABSTRACT FROM AUTHOR]

Habitat translocation is a method of habitat salvation conducted in cases of its inevitable destruction during construction projects. To evaluate the large-scale turf translocation of wet meadows to derelict land, with consideration of the possible impact of the surrounding area on the translocated habitat, salvaged Molinion meadows were compared to reference meadows near the donor site and to varied plots in the receptor area. The study included the soil, vegetation and selected groups of invertebrates at different motility and food levels. Pollinators (wild bees, butterflies), grasshoppers, ants and soil mesofauna, with emphasis on springtails, were counted and identified to the species level. Lower numbers of springtails and higher numbers of grasshoppers were observed in the translocated plots than in the reference plots. For springtails, the decreased soil porosity was a clear disadvantage. Mobile animals with a high food specificity responded dynamically to the habitat translocation. The translocated plots maintained their biodiversity. However, an influx of cosmopolitan species was noticeable, especially for the plants and pollinators. A few vulnerable species declined in number. The habitat translocation to derelict land was associated with a deterioration of the ecological condition of the habitat; thus, natural habitats should be preserved where they are if possible. However, in the case of their inevitable destruction, translocation is better than nothing. Revitalised areas can be a valuable spot for local pollinators, as well as for other animals, as far as their biodiversity is maintained. Caring for pollinators, which are under threat on a global scale, should be a particular concern for the safety of crops and phytocoenoses., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)