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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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The document “Guidelines for the Investigation and Control of Disease Outbreaks” provides practical guidance for public health professionals on how to detect, investigate, and manage outbreaks of communicable diseases. It describes the key steps of outbreak investigation, including confirming th
...
e outbreak, establishing a case definition, collecting epidemiological and laboratory data, identifying the source and mode of transmission, and implementing control measures. The guidelines also explain how to organize outbreak response teams, communicate findings, and document results in outbreak reports. Overall, the document aims to support systematic and effective outbreak investigations in order to control disease spread and protect public health.
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There has been major progress in the HIV response in eastern and southern
Africa, the region most affected by the HIV pandemic.
PLoS ONE 18(12): e0295920. https://doi.org/10.1371/journal.pone.0295920. PLHIV were largely unaware and sceptical of U = U as the message appeared to contradict
the mainstream HIV prevention clinical guidance.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest volunteer-based humanitarian network. With our 190 member National Red Cross and Red Crescent Societies worldwide, we are in every community reaching 160.7 million people annually through long-term s
...
ervices and development programmes, as well as 110 million people through disaster response and early recovery programmes. We act before, during and after disasters and health emergencies to meet the needs and improve the lives of vulnerable people. We do so with impartiality as to nationality, race, gender, religious beliefs, class and political opinions.
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The text explains the concept of disaster preparedness and outlines how societies can better prepare for and respond to emergencies. It describes key components such as risk assessment, planning, resource management, warning systems, and training, emphasizing that effective preparedness requires coo
...
rdination between institutions, communities, and individuals. The text also highlights the importance of early warning systems, showing that not only technical accuracy but also clear communication and community response are crucial. Overall, it argues that disaster preparedness is an ongoing process that combines planning, capacity building, and practical measures to reduce risks and improve emergency response.
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Le Profil de pays 2025 sur la santé et les changements climatiques en Haïti est une ressource récemment développée qui offre, pour la première fois, un aperçu clair et accessible de l’intersection entre les tendances climatiques et la santé publique dans le pays. Il synthétise les meilleu
...
res données disponibles ainsi que les connaissances issues du terrain afin de montrer où les aléas climatiques affectent la santé, qui sont les populations les plus à risque, et quelles actions peuvent renforcer efficacement les services et sauver des vies.
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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
Burkina Faso Enquête Démographique et de Santé et à Indicateurs Multiples (EDSBF-MICS IV)
Institut National de la Statistique et de la Démographie Ouagadougou, Burkina Faso
The DHS Program ICF International
(2012)
C1
These documents provide guidance on data analysis and calculation of the recommended indicators on prevalence of children with disabilities in the population using the Module on Child Functioning. The tabulation plan provides the template for presentation of the data analysis and calculation of the
...
indicators. The tabulation narrative provides the algorithms with explanations on each table presented in the tabulation plan. The Stata syntax and SPSS syntax can be found in the word documents.
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This handout provides guidance on the use of the vitamin A data from the 2006, 2011, and 2016 Uganda Demographic and Health Surveys (DHS).
Mosquitoes, flies, bugs and other vectors transmit viruses, parasites and bacteria that infect millions of people globally. They cause many diseases, including malaria, dengue, leishmaniases, Chagas disease and Zika virus disease.
The World Health Organization (WHO) has developed a new strategy to
...
strengthen vector control worldwide. Member States welcomed this integrated approach at the 2017 World Health Assembly and adopted a resolution to support the strategy.
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FAST FACTS FROM THE 2015-16 MALAWI MDHS
Lancet Neurol 2019 Volume 18, ISSUE 5, P459-480, May 01, 2019
Published OnlineMarch 14, 2019 http://dx.doi.org/10.1016/ S1474-4422(18)30499-X
PMPB/INS-GUIDE/04
