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The World report on promoting the health of refugees and migrants: Monitoring progress on the WHO global action plan provides the first global baseline for assessing implementation of the 2019-2030 WHO Global Action Plan on Promoting the Health of Refugees and Migrants (GAP). Building on the 2022 Wo
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rld report on the health of refugees and migrants, it examines how countries are integrating refugee and migrant health into broader public health, migration governance, development, and universal health coverage (UHC) agendas.
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Le Profil de pays 2025 sur la santé et les changements climatiques en Haïti est une ressource récemment développée qui offre, pour la première fois, un aperçu clair et accessible de l’intersection entre les tendances climatiques et la santé publique dans le pays. Il synthétise les meilleu
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res données disponibles ainsi que les connaissances issues du terrain afin de montrer où les aléas climatiques affectent la santé, qui sont les populations les plus à risque, et quelles actions peuvent renforcer efficacement les services et sauver des vies.
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The document provides practical guidelines for conducting a national disaster risk assessment, developed by the United Nations Office for Disaster Risk Reduction. It emphasizes the importance of understanding disaster risk as a foundation for effective disaster risk management and sustainable develo
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pment. The guidelines outline a structured process that includes preparing and scoping the assessment, conducting risk analysis, and using the results to inform policy and decision-making. They promote a comprehensive, multi-hazard approach that considers vulnerabilities, exposure, and capacities, while encouraging collaboration among governments, experts, and stakeholders. Overall, the document aims to help countries build stronger systems for assessing and managing risks, thereby enhancing resilience and reducing the impacts of disasters.
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Artificial intelligence for tuberculosis control: a scoping review of applications in public health
Menon, S.; and K. Ghislein Kuro
(2025)
J Glob Health. 2025;15:04192. This scoping review highlights the potential of AI-driven predictions in national TB programmes to enhance diagnostics, track trends, and strengthen public health surveillance. While promising for reducing transmission and support-
ing TB care in low-resource settings,
...
these models require large-scale validation to ensure real-world applicability, especially for high-risk groups
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Accessed June 2015
