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Effective surveillance and monitoring of noncommunicable diseases (NCDs) and their risk factors are essential for informing evidence-based public health policies, addressing health inequities, and ensuring progress toward global and regional targets. By tracking trends in NCDs, their modifiable risk
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factors such as tobacco use, unhealthy diets, physical inactivity, harmful use of alcohol, and air pollution, along with biological risk factors such as overweight and obesity, high blood pressure (hypertension), and elevated blood glucose (diabetes), policymakers can identify emerging threats, target vulnerable populations, allocating resources efficiently. Reliable data also enable countries to evaluate interventions, adjust policies, and strengthen health systems to reduce the burden of NCDs.
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2023 was another year of significant progress in the fight against HIV, tuberculosis (TB) and malaria. In countries where the Global
Fund invests, there has been a full recovery from the disruptive impact of the COVID-19 pandemic. The results we have achieved in the last year build on our extraord
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inary track record of progress. Over the last two decades, our partnership has cut the combined death rate from AIDS, TB and malaria by 61%. As of the end of 2023, the Global Fund partnership has saved 65 million lives.
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Public health challenges over the past decade have highlighted the importance of approaching health through a holistic lens of human, animal, and environmental sectors, recognizing the need for a collaborative response against shared threats. Zoonotic diseases, transmitted between humans and animals
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through their shared environment, are at the forefront of the threats requiring collaborations that span human health, natural ecosystems, and food systems.
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Background Note: Briefing to the Executive Board, First Regular Session 2025
Technical Document
A Training Curriculum
A service guide for site operations
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
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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 issue brief aims to provide a comprehensive overview of key publications, guidelines, and practical materials on malaria prevention, diagnosis, and treatment. The selected documents reflect current evidence and field-based experiences, supporting healthcare professionals, researchers, and publ
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ic health authorities in their efforts to control and eliminate malaria.
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Harmonising proven strategies beyond the emergency phase. Zero Hunger Phase 2
Ghana Med J. 2012 Jun;46(2 Suppl):69-78.
This is one of seven Medical Peace Work courses.
“towards quality health and social welfare services”