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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.
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This manual addresses all the issues. It focus on the cycle of microbes, antibiotics, vaccination, AMR,
infection prevention and control. It will support nurses on better action and also on communication towards
their patients and families.
The module is currently available in English, French, Nepali, Portuguese, Russian, and Spanish
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ients, referred from lower-level health facilities. The guidelines were developed by the WHO Regional Office for South-East Asia and the WHO Collaborating Centre for the Clinical Management of Malaria, Faculty of Tropical Medicine, Mahidol University, Thailand. The guidelines are based on a review of current evidence, existing WHO guidelines and experience in the management of malaria in the Region
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• provide scientific information on the safety, efficacy, and quality control/ quality assurance of widely used medicinal plants, in order to facilitate their appropriate use in Member States;
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ent. We have tried to provide simple, practical solutions to the questions and problems faced by field medical staff, using the accumulated field experience of Médecins Sans Frontières, the recommendations of reference organizations such as the World Health Organization (WHO) and specialized documentation in each field. Also available in French, Spanish and Arabic
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WHO Model Formulary for Children
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WHO Model Formulary for children based on the Second Model List of Essential Medicines for Children 2009.
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including better dosage forms, better evidence and better information about how to ensure that medicines for treating the common childhood diseases are given at the right dose for children of all ages.
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A Global Campaign Against Epilepsy Demonstration Project
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