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The document provides a standardized protocol for evaluating the Early Warning Alert and Response Network (EWARN), a surveillance system used during humanitarian emergencies when regular national health surveillance may be disrupted. The purpose of EWARN is to detect outbreaks of communicable diseas
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es early and enable rapid public health response. The guidance explains how the system should be assessed in terms of its structure, implementation, effectiveness, and usefulness. It outlines the key steps of evaluation: preparation, system description, data collection, and post-evaluation reporting. The protocol highlights common challenges observed in previous EWARN implementations, such as delays in establishing the system, limited data quality, weak outbreak response, and lack of clear transition plans back to routine surveillance systems. It emphasizes the need to evaluate both weekly disease reporting and alert verification processes, and to review attributes such as simplicity, data quality, timeliness, sensitivity, and stability. The document also provides templates for interviews, data review forms, and laboratory assessment, as well as guidance on conducting remote evaluations when access is limited. The overall goal of the protocol is to ensure that EWARN functions effectively to detect and respond to outbreaks and that practical recommendations are developed to improve the system’s performance and sustainability in emergency settings.
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CDC leads an international surveillance effort to estimate the occurrence of HIV drug resistance among people with HIV who are taking dolutegravir (DTG)-based treatments. This surveillance effort utilizes Cyclical Acquired HIV Drug Resistance Surveillance (CADRE), a laboratory-based HIV drug resista
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nce monitoring process.
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The handbook includes evidence-based mental health interventions, drawn from the WHO mhGAP guidelines for mental, neurological, and substance use disorders (3), particularly those listed in the UHC Compendium. Evidencebased interventions to reduce population health-related stigma and discriminatio
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n are included in the ECP in order to address the stigma experienced both by people living with mental health conditions and by those living with NTDs.
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Journal of Adolescent Health 2022 1-16
A Training Manual for Community Service Providers
Recent suspensions and reductions in official development assistance (ODA) have posed significant challenges to HIV programme continuity in several countries. These funding disruptions have impacted people living with HIV and other vulnerable populations
who rely on these essential services, like a
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ntiretroviral treatment, particularly in settings reliant on external financing . In some cases, governments are stepping in to reestablish services that were previously provided through other sources of funding.
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Advanced Clinical Care (ACC) Live Tutorial session 22 August 2024
39th African Union (AU) Summit, Addis Ababa, Ethiopia, February 2026
Modelling shows that it will be essential to complement lenacapavir with additional prevention options, testing and treatment. See “Meeting reports” at https://www.unaids.org/en/resources/publications/all for a description of models and tools to estimate potential impact and quantifications requ
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ired for lenacapavir
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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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Populations affected by emergencies are continually at risk of outbreaks of epidemic-prone diseases and other public health hazards. This operational guidance aims to guide decision-making on when and how to implement and strengthen Early Warning Alert and Response (EWAR) in preparation for and resp
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onse to emergencies. Each module aims to provide updated operational guidance for EWAR practices, which may be more easily understood and applied during emergencies. Through its application, this operational guidance aims to contribute to:
- earlier detection of acute public health events
- earlier and more effective response
- reduced impact of emergencies on health
- increased trust of the population in the (public) health system
- fulfilling our collective commitments to the International Health Regulations (IHR,
2005).
This guidance was developed jointly by 69 experts from more than 20 organizations from global level to country level.
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This report examines how clinical trials contribute to environmental impacts and outlines key considerations for integrating environmental sustainability into trial design, conduct and oversight. It explores the carbon footprint and resource use associated with clinical research activities – inclu
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ding site operations, participant travel, supply chains, data management and waste – and highlights how these impacts intersect with climate change risks to health systems and research infrastructure.
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This Mobile user guidance is aimed at supporting implementation of EWARS in a box, WHO’s electronic early warning, alert and response system in emergencies. This guidance fulfills a long felt need to have an easy to use resource with step-by-step instructions in establishing EWARS in a box, facili
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tating field epidemiologists, surveillance officers and emergency responders.
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