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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 document consolidates, for the first time, WHO recommendations on the prevention, testing, treatment and monitoring of hepatitis B and C, and includes testing strategies for hepatitis D. Drawing on a decade of evidence-based guidance issued between 2015 and 2025, it provides a single, practical
...
handbook to support global progress toward eliminating viral hepatitis by 2030.
The document also highlights simplified service delivery models that promote decentralization, integration with primary care and related programmes such as HIV and tuberculosis, as well as task sharing and differentiated care to expand access and improve efficiency. It further underscores the need for robust data and monitoring systems to support effective programme implementation.
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The document provides guidance from the CDC on conducting an Operational Readiness Review (ORR) within the Public Health Emergency Preparedness (PHEP) cooperative agreement. It outlines the purpose, structure, and evaluation criteria used to assess whether public health systems are prepared to respo
...
nd effectively to emergencies. The guidance describes required capabilities, review processes, and documentation expectations, helping jurisdictions demonstrate their readiness and identify areas for improvement in emergency preparedness and response.
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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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in the WHO South-East Asia Region 2019-2023