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The paper “Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities” examines how artificial intelligence (AI) can improve
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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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DHS Working Paper No. 133
The document is a practical handbook developed by the European Centre for Disease Prevention and Control (ECDC) that provides guidance on how to design, plan, conduct, and evaluate simulation exercises in public
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health settings. Its main purpose is to help organisations improve their preparedness and response to communicable disease outbreaks by using structured exercises as a training and evaluation tool. The handbook explains different types of exercises, outlines the steps involved in organising them, and highlights the importance of clear objectives, coordination, and evaluation. Overall, it aims to strengthen emergency preparedness by enabling organisations to identify weaknesses, improve collaboration, and enhance their ability to respond effectively to public health crises.
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World Psychiatry16:2 - June 2017
First published: 12 May 2017
https://doi.org/10.1002/wps.20428
Volume16, Issue2; Pages 213-214
This survey is part of a series of eight country surveys conducted in the context of the People that Deliver Initiative (peoplethatdeliver.org). This global initiative, which brings together the world’s largest organizations, aims to improve health
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services performance through the professionalization of logistics managers.
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PHSM are vital in reducing the risk and scale of infectious disease transmission and lowering hospitalization and deaths. Examples include contact tracing, quarantine and isolation, mask use, ventilation, school or workplace measures, mobility restrictions and travel requirements.
While these mea
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sures are essential, decision-making on PHSM becomes particularly complex during rapidly evolving health emergencies, with incomplete information and under significant public and political pressure, especially when the pathogen is novel or poorly understood. In such contexts, guidance needs to be agile and responsive, developed and adapted based on emerging evidence and shifting epidemiological patterns. Decision-makers are frequently confronted with difficult trade-offs, having to balance measures that are:
─ effective but socially disruptive;
─ cost-effective but logistically burdensome;
─ beneficial for public health but economically disruptive; or
─ practical but inequitable or unethical
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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
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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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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
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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
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Human Resource Capacity Development in Public Health Supply Chain Management: Assessment Guide and Tool
USAID; Deliver Project
(2013)
this toolkit presents a structured, rating-based methodology designed to provide a rapid, comprehensive assessment of the capacity of the human resource support system for a country’s supply chain. Data are gathered from a document review, focus group discussions, and in-country stakeholder interv
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iews to identify the strengths, areas for improvement, opportunities, and challenges for a wide range of human resource inputs and components. The findings are transformed into specific recommendations and strategies for action based on an understanding of country priorities and programming gaps. It includes Word templates; PowerPoint templates and Exce-based Diagnostic Dashboard
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The paper sets out the specific communication challenge posed by Ebola and why it was so difficult to get to grips with this in the early months of the outbreak. It thendocuments when the health communication response became more useful and explores
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what that tells us about effective media and communication. Finally, it offers recommendations to ensure that media and communication are used to their full potential during other disease outbreaks and humanitarian crisis
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This report presents the findings from a ‘deep dive’ undertaken by UNICEF East Asia and the Pacific Regional Office to consider the experiences in Cambodia, Indonesia, the Lao People’s Democratic Republic, Malaysia, Myanmar, the Philippines and the Pacific. The target audience for this report
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includes OPDs and humanitarian actors at global, regional, and country levels.
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Alcohol consumption is deeply embedded in the social landscape of many societies. Several major factors have an impact on levels and patterns of alcohol consumption in populations – such as historical trends in alcohol consumption, the availability of alcohol, culture, economic status and trends i
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n the marketing of alcoholic beverages, as well as implemented alcohol control measures. At the individual level, the patterns and levels of alcohol consumption are determined by many different factors, including gender, age and individual biological and socioeconomic vulnerability factors, as well as the policy environment. Prevailing social norms that support drinking behaviour and mixed messages about the harms and benefits of drinking encourage alcohol consumption delay appropriate health-seeking behaviour and weaken community action
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Conhecimento, atitudes e práticas sobre tuberculose em prisões e no serviço público de saúde
Rev Bras Epidemiol 2013; 16(1): 100-113
The roundtable provided a forum that allowed communicators across a number of Federal agencies to share information, strategies, and challenges in developing and providing communication messages and materials to the public in prep
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aration for, and in response to, a radiation emergency. Throughout the discussion , several “big picture” qestions were brought up that may be addressed in future interagency efforts.
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Master of Science in Pharmaceutical Management Dissertation
EBioMedicine. 2016 Jun 16. pii: S2352-3964(16)30276-6. doi: 10.1016/j.ebiom.2016.06.020. Open Access
This Training module on malaria elimination has been developed by WHO to support health professionals in planning, managing, monitoring and evaluating malaria elimination programmes
