ArticleFrontiers in public health2022
Operationalizing "One Health" as "One Digital Health" Through a Global Framework That Emphasizes Fair and Equitable Sharing of Benefits From the Use of Artificial Intelligence and Related Digital Technologies.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ethical Challenges and Opportunities at the Intersection of One Health and Open Science in India: A Scoping Review.Open research Europe · 2025Pooled it
- Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross-Species Technology Transfer.Veterinary medicine and science · 2026Review
- Operationalizing One Digital Health and FAIR Data Principles for Disease Surveillance in a Low-Medium Income Country in Africa: Qualitative Study in the Democratic Republic of the Congo.JMIR medical informatics · 2026Article
- From Reactive to Predictive One Health: AI-Enabled Frameworks for Integrated Zoonotic Surveillance and Governance.International journal of environmental research and public health · 2026Article
- Overcoming Barriers to One Health Surveillance Implementation.Health security · 2026Article
- Relevance of Management Science in the One Health Paradigm.The International journal of health planning and management · 2026Article
- Comprehensive review of One Health systems for emerging infectious disease detection and management.One health (Amsterdam, Netherlands) · 2025Review
- The WHO Pandemic Agreement's Missing Epistemic Architectures: Infodemics and Antimicrobial Resistance as Examples.Asian bioethics review · 2025Article
- Assessing coupling coordination between human-animal-environmental health for advancing uniform progress in One Health.One health (Amsterdam, Netherlands) · 2025Article
- Developing a one health data integration framework focused on real-time pathogen surveillance and applied genomic epidemiology.One health outlook · 2025Article
- Advancing One Health implementation and technological innovation in China: a technology assessment approach.Science in One Health · 2025Review
- Filling the gap: artificial intelligence-driven one health integration to strengthen pandemic preparedness in resource-limited settings.Frontiers in public health · 2025Review
- Preparedness of the Local Population for the Uptake of Artificial Intelligence and Digital One Health for Home Healthcare of Emerging and Reemerging Infectious Diseases in Southwest and Littoral Regions of Cameroon.Journal of tropical medicine · 2025Article
- Trade-offs among human, animal, and environmental health hinder the uniform progress of global One Health.iScience · 2024Article
- Review
- May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice.Global bioethics = Problemi di bioetica · 2024Article
- Consumer Informatics and One Health: Shifting the Focus from the Individual to the Globe. Findings from the Yearbook 2023 Section on Education and Consumer Health Informatics.Yearbook of medical informatics · 2023Article
- Leveraging Data and Technology to Enhance Interdisciplinary Collaboration and Health Outcomes.Yearbook of medical informatics · 2023Review
- One Health in a Digital World: Technology, Data, Information and Knowledge.Yearbook of medical informatics · 2023Article
- Information and Communication Technology Medicine: Integrative Specialty for the Future of Medicine.Interactive journal of medical research · 2023Article
Corrections and comments
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Authors and funding
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Abstract
The operationalization of One Health (OH) through digitalization is a means to deploy digital technologies (including Artificial Intelligence (AI), big data and related digital technologies) to better capacitate us to deal with growing climate exigency and related threats to human, animal and plant health. With reference to the concept of One Digital Health (ODH), this paper considers how digital capabilities can help to overcome 'operational brakes' in OH through new and deeper insights, better predictions, and more targeted or precise preventive strategies and public health countermeasures. However, the data landscape is fragmented and access to certain types of data is increasingly restrictive as individuals, communities and countries seek to assert greater control over data taken from them. This paper proposes for a dedicated global ODH framework-centered on fairness and equity-to be established to promote data-sharing across all the key knowledge domains of OH and to devise data-driven solutions to challenges in the human-animal-ecosystems interface. It first considers the data landscape in relation to: (1) Human and population health; (2) Pathogens; (3) Animal and plant health; and (4) Ecosystems and biodiversity. The complexification from the application of advance genetic sequencing technology is then considered, with focus on current debates over whether certain types of data like digital (genetic) sequencing information (DSI) should remain openly and freely accessible. The proposed ODH framework must augment the existing access and benefit sharing (ABS) framework currently prescribed under the Nagoya Protocol to the Convention on Biological Diversity (CBD) in at least three different ways. First, the ODH framework should apply to all genetic resources and data, including DSI, whether from humans or non-humans. Second, the FAIRER principles should be implemented, with focus on fair and equitable benefit-sharing. Third, the ODH framework should adopt multilateral approaches to data sharing (such as through federated data systems) and to ABS. By operationalizing OH as ODH, we are more likely to be able to protect and restore natural habitats, secure the health and well-being of all living things, and thereby realize the goals set out in the post-2020 Global Biodiversity Framework under the CBD.
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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.