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The paper “Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities” examines how artificial intelligence (AI) can improve public health systems across Africa, particularly in low-resource settings. It explores how machine learning and other AI techniques
...
are being used for disease detection, outbreak prediction, real-time surveillance, and health resource management.
The authors focus on major public health challenges such as HIV, cholera, Ebola, measles, tuberculosis, malaria, COVID-19, and mental health. Through numerous case studies, the paper shows that AI can enhance the accuracy and speed of disease detection, predict outbreaks more effectively than traditional methods, support vaccination strategies, and optimize healthcare resource allocation. At the same time, it discusses important barriers to implementation, including limited data quality, infrastructure constraints, ethical concerns, and shortages of technical expertise.
Overall, the paper highlights AI’s strong potential to strengthen disease surveillance and health outcomes in Africa while emphasizing the need for careful integration, improved data systems, and supportive policy frameworks.
more
The Health Emergency and Disaster Risk Management
Chan E.Y.Y., Huang Z., Hung K.K.C. et al
United Nations Office for Disaster Risk Reduction UNDRR
(2022)
CC
An emerging framework for achieving synergies among the Sendai Framework, the 2030 Agenda for Sustainable Development, the New Urban Agenda and the Paris Agreement. This paper discusses the potential of the Health Emergency and Disaster Risk Management (Health-EDRM) Framework in promoting syne
...
rgies in pursing risk- resilient sustainable development pathways via conceptual analysis of the key roles of health and Health-EDRM in the major international risk-resilient and sustainable development agendas of the Sendai Framework, the 2030 Agenda for Sustainable Development, the New Urban Agenda and the Paris Agreement. It first analyses the Health-EDRM Framework, which is a comprehensive, systematic, cross-sectoral, and interdisciplinary endeavour of the World Health Organization and its health and non- health partners. The four key international risk-resilient and sustainable development agendas are then analysed in detail to explore how they can be interlinked and synergised under the Health-EDRM Framework.
more
The document presents a strategic framework by the World Health Organization for managing risks related to emergencies and disasters in the health sector. It highlights that such events (such as epidemics, natural disasters, or conflicts) have major impacts on health, healthcare systems, and societa
...
l development. The framework proposes a comprehensive and proactive approach based on prevention, preparedness, response, and recovery, while emphasizing the importance of collaboration across different sectors and stakeholders. Its main objective is to reduce health risks, strengthen the resilience of communities and health systems, and improve health security at the global level.
more
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
more
BMC Public Health (2025) 25:3774 https://doi.org/10.1186/s12889-025-24555-6. The study results provide useful insights on how climate change influences malaria in African countries, and reiterates the need for a greater engagement of policymakers and social partners, in intensifying the action neede
...
d to fight the transmission of malaria in Sub-Sahara Africa
more
Musculoskeletal disorders represent a significant problem of modern society which are more pronounced in young people and school children. Etiology of these disorders is found in inadequate ergonomic conditions, too heavy school bag, school furniture inadequate to age, poor posture, sedentary lifest
...
yle, reduction of physical activity and lack of exercise.
more
This report presents data and outlines best practices and policies that can put governments on the path to providing every child with the best start in life. It outlines the neuroscience of early childhood development (ECD), including the importance of nutrition, protection and stimulation in the ea
...
rly years. And it makes the case for scaling up investment, evaluation and monitoring in ECD programmes. The report concludes with a six-point call to action for governments and their partners to help maximize the potential of the children who will build the future – by making the most of the unparalleled opportunities offered by the early moments in life.
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