ArticleiScience2025
Communicating the interdependence of human, animal, and environmental health on X (formerly Twitter): Insights from the one health approach.
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has underscored societies' need for education and preparedness in addressing global environmental and health crises. Raising public awareness of the interdependence of human, animal, and environmental health is essential to engaging the public in environmental conservation and disease prevention. The One Health approach offers a holistic and multidisciplinary view for tackling challenges related to environmental and health issues by emphasizing the interplay of these three interconnected health dimensions. We analyzed how the interconnectedness of health dimensions was disseminated through the OH approach on X (formerly Twitter) from April 2006 to December 2022 using machine learning methods. Results show an underrepresentation of environmental health, limited dissemination beyond academia, and a retweet network dominated by researchers and non-profits in veterinary and human health. We advocate for more inclusive communication strategies to bridge the gap between academia and the public and raise awareness of the interconnected nature of our world.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.