ArticleOne health (Amsterdam, Netherlands)2026
When silos cannot be broken: Rethinking integration and coexistence in one health.
Article in One health (Amsterdam, Netherlands), 2026. 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.
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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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1 author.
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Abstract
One Health is increasingly promoted as a collaborative approach for addressing interconnected challenges across human, animal, and environmental health. Central to this vision is the recurrent call to "break down silos" between disciplines, sectors, and institutions. This article critically examines the assumptions underlying the "breaking down silos" narrative and argues that silos should not be understood solely as barriers to collaboration. They also function as repositories of expertise, accountability structures, and mechanisms that sustain institutional coherence. The analysis explores how institutional, disciplinary, data, geographical, and cultural silos influence One Health practice. Rather than eliminating silos, the challenge lies in developing sustainable bridges that support coordination while preserving specialised expertise. These bridges include technical, relational, and governance mechanisms that sustain collaboration across systems. Ultimately, One Health may be better understood as a process of negotiating productive coexistence across diverse forms of knowledge and governance.
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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 Socratic graph.