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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
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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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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
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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.
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This multi-hazard Health Emergency Alert and Response Framework provides guidance for coordinating emergency response in countries, under the global Health Emergency Preparedness, Resilience and Response (HEPR) framework. It outlines the public health functions, coordination systems and actions need
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ed for effective local, sub-national and national response to a broad range of health emergencies, including disasters. The audience for this framework is the primary national and sub-national authorities with the designated responsibility for health emergency coordination.
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Noncommunicable diseases (NCDs) (e.g., cardiovascular diseases, cancers, diabetes, and chronic respiratory diseases) and mental health conditions (e.g., Alzheimer’s disease and related dementias, depression, anxiety, autism spectrum disorders) are the world’s leading cause of preventable illness
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, disability, and death. This report examines the dangers posed by current and rising rates of noncommunicable diseases and mental health conditions (NMHs) in South America, beyond their health risks, by demonstrating their considerable negative impact on economic growth. An analytical model was developed that projects the macroeconomic effects of NMHs over the period 2020–2050 in ten South American countries: Argentina, Bolivia (Plurinational State of), Brazil, Chile, Colombia, Ecuador, Paraguay, Peru, Uruguay, and Venezuela. The results showed that the macroeconomic impact of NMHs in South America indicates significant economic shortfalls resulting from NMHs. Overall, the total GDP loss due to NMHs in South America amounts to USD 7.3 trillion (2022 international USD) over the period 2020–2050
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Children in Kabwe are especially at risk because they are more likely to ingest lead dust when playing in the soil, their brains and bodies are still developing, and they absorb four to five times a
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s much lead as adults. The consequences for children who are exposed to high levels of lead and are not treated include reading and learning barriers or disabilities; behavioral problems; impaired growth; anemia; brain, liver, kidney, nerve, and stomach damage; coma and convulsions; and death. After prolonged exposure, the effects are irreversible. Lead also increases the risk of miscarriage and can be transmitted through both the placenta and breastmilk.
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PlosOne https://doi.org/10.1371/journal.pone.0165797; Food production is a major driver of greenhouse gas (GHG) emissions, water and land use, and dietary risk factors are contributors to non-communicable diseases. Shifts in dietary patterns can the
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refore potentially provide benefits for both the environment and health. However, there is uncertainty about the magnitude of these impacts, and the dietary changes necessary to achieve them.
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E-learning Resources for Global Health Researchers : Many organizations offer no- and low-cost e-learning resources to those working in the field of global health research. Resources include training courses, MOOCs and course materials (presentatio
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ns, videos, reading lists, visual aids, articles), resource centers and resource networks.
Accessed 6 March 2019.
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In 2018, the Intergovernmental Panel on Climate Change announced that to restrict global temperature rise to 1·5°C, greenhouse gas emissions must decrease 45% by 2030 compared with 2010, and reach
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net zero by 2050.1
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English Analysis on World about Climate Change and Environment, Recovery and Reconstruction and Epidemic; published on 26 Oct 2021 by UNEP
Guide on labeling and placarding hazardous materials
7 May 2021
Childhood tuberculosis activity book
Accessed November 2017
Environmental pollution, protection, quality and sustainability
