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Accessed on 29.11.2021
The Investment guidelines for youth in agrifood systems in Africa, developed jointly by FAO and the African Union Commission (AUC) through a multi-stakeholder and participatory process, highlight the importance of youth as change agents and key stak
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eholders contributing to sustainable agrifood systems. The guidelines aim to accelerate investments in and by youth in agrifood systems by providing practical guidance - including tools and examples - to design, develop, implement, monitor and evaluate youth-focused and youth-sensitive investment programmes and to engage youth fully as partners in the entire process.
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Background and aims: Current coverage of mental health care in low- and middle-income countries is limited, not only in terms of access to services but also in terms of financial protection of persons in need of care and treatment. This is especially pertinent considering the established relationshi
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p between mental illness and poverty and the need to ensure the financial risk protection of persons with mental disorders and their families as part of country's efforts to attain universal health coverage. This study set out to review the health and socio-economic contexts of Nigeria as well as to generate strategies for sustainable mental health financing that will be feasible, within the specific context of the country.
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s health financing institutions, processes, policies and their implementation, benchmarked against good practice in the context of universal health coverage (UHC). The paper also details processes which ensure that country assessments are credible. While health financing is only one of the core functions of a health system, it significantly influences both the extent to which the population accesses health services, and the extent to which they face financial hardship in the process. Through a forward-looking assessment process the HFPM contributes to building resilience within health systems, which also contributes directly to improved emergency preparedness and response.
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sential for identifying trends and detecting emerging health threats, evaluating the impact of interventions, and guiding evidence-based policy decisions.
This framework outlines a holistic approach to strengthening routine mortality surveillance systems, considering the unique contextual factors and challenges faced by African countries. It emphasizes the importance of establishing efficient data collection mechanisms, enhancing data quality and completeness, and promoting data sharing and collaboration among stakeholders.
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Promoting and protecting health is essential to human welfare and sustained economic and social development. This was recognized more than 30 years ago by the Alma-Ata Declaration signatories, who noted that Health for All would contribute both to a better quality of life and also to global peace an
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The video titled "Personalizing Selection of Inhaled Delivery Systems in COPD" discusses the complexities healthcare professionals face when prescribing inhaled therapies for chronic obstructive pulmonary disease (COPD). It highlights the diverse ra
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In order to contribute especially to the achievement of Target (g) of the Sendai Framework, several international and regional organizations as well as national institutions with a key role in early warning joined forces and established the International Network for Multi-Hazard Early Warning
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Systems (IN-MHEWS) during the WCDRR in March 2015. IN-MHEWS aims to facilitate the sharing of expertise and good practice for multi-hazard early warning systems as a national strategy for disaster risk reduction, climate change adaptation, and building resilience. In addition, it aims to guide and advocate the implementation and/or improvement of multi-hazard early warning systems, share lessons learnt regarding early warning and increase the efficiency of investments in such systems for enhanced societal resilience.
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Consistent with previous editions of this Global Status Report, evidence continues to suggest that concrete progress has been made by countries to improve the coverage and comprehensiveness of MHEWS. Countries have also taken actions to reduce the negative impacts of disasters through investment and
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The webpage presents a case study on the use of artificial intelligence (AI) in global early warning systems as part of the United Nations’ “Early Warnings for All” (EW4All) initiative. The initiative aims to ensure that everyone worldwide is
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The webpage describes a 2025 report by the International Federation of Red Cross and Red Crescent Societies on how governments can integrate anticipatory action into national disaster risk management systems, using global examples and case studies t
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The document “Communicable Disease Surveillance and Response Systems: A Guide to Planning” is a World Health Organization (WHO) guide designed to help countries develop and strengthen national surveillance and response
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The guide provides a structured approach to strategic and operational planning. It outlines how countries should assess their existing systems, define a vision and goals, identify expected key result areas (EKRAs), prioritize activities, set realistic targets, allocate resources, and monitor progress. It also includes practical tools such as templates, worksheets, and examples to support ministries of health in organizing planning workshops and developing multi-year strategic plans and annual operational plans. Overall, the document serves as a practical framework to improve preparedness, early warning, and response to public health emergencies.
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The UNDP webpage “Climate Information and Early Warning Systems” explains how climate information and early warning systems help countries and communities better prepare for and respond to clima
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te-related hazards such as extreme weather events, floods, heatwaves and droughts. It describes UNDP’s approach to strengthening climate data collection, forecasting, communication and decision-making, as well as building partnerships and capacity to reduce risk, protect lives and support sustainable development in the face of a rapidly changing climate.
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TArtificial intelligence (AI) is transforming health systems, reshaping how care is planned, delivered and governed. This report presents the first assessment of AI integration into health systems a
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Health Informatics Journal 1–38. AI has shown promise in enhancing the speed and accuracy of epidemic detection. However, challenges related to data quality, bias, and model transparency need to be addressed to improve the reliability and generalizability of AI-based EWS. Continuous monitoring and
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