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Publication Years
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282
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Category
1377
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193
52
9
Toolboxes
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283
225
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40
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26
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10
2
Bhana A et al. Journal of the International AIDS Society 2021, 24(S2):e25713
HIV/AIDS Hope Initiative
Final Policy
Through the “Fiji National HIV Surge Strategic Plan 2024-2027,” the ministry will address areas for
Prevention, Diagnostics, Treatment and Care, the Continuum of Care and an intense Monitoring,
Evaluation, Accountability and Learning Framework for the government. This strategic plan aims
to d
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ecentralise services and bring services closer to individuals in a non-stigmatising and
discriminatory manner nationwide.
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The Global Aids Strategy 2026-2031
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United- Towards Ending AIDS. The Global AIDS Strategy 2026-2031 focuses global efforts for the future of the AIDS response to end AIDS as a public health threat by 2030 and sustain the HIV response after 2030. This is a strategy uniting the world.
The Strategy will shape the June 2026 United Natio
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ns General Assembly High-Level Meeting on Ending AIDS and its political declaration. It provides all actors in the field with guidance to overcome the challenges and to ensure effective country-led AIDS responses. The Global AIDS Strategy 2026-2031 includes new global targets for 2030 and resource needs estimates.
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В настоящем сборнике обобщается опыт работы, которая была проведена в сфере коммуникации по вопросам рисков и взаимодействия с местным населением (КРВМН) 18 партне
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ами по общественному здравоохранению на уровне стран/территорий в Европейском регионе ВОЗ, и приводятся данные о достигнутых результатах и выводах, сделанных за период с начала пандемии COVID-19. Для сферы КРВМН документирование возникающих проблем и найденных решений не является распространенной практикой работы. При составлении настоящего сборника мы хотели свести воедино имеющиеся фактические данные на эту тему и поделиться ими в целях поддержки процесса принятия решений.
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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.
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Guide to revision of national pandemic influenza preparedness plans - Lessons learned from the 2009 A(H1N1) pandemic
Brown C., Ciotti M., Hegermann-Lindencrone M., et al
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(2017)
C_WHO
The document “Guide to revision of national pandemic influenza preparedness plans – Lessons learned from the 2009 A(H1N1) pandemic” provides guidance for countries on how to improve and update their national pandemic preparedness plans. It is based on lessons learned from the 2009 influenza pa
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ndemic and aims to help governments strengthen their readiness for future pandemics. The report outlines key components of effective pandemic planning, including risk assessment, coordination between sectors, communication strategies, healthcare system preparedness, vaccination and antiviral strategies, and business continuity planning. It also emphasizes the importance of international cooperation and flexible planning that can adapt to different pandemic scenarios. Overall, the guide serves as a framework to support countries in developing stronger, more coordinated responses to future influenza pandemics.
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WHO's Department for HIV, Tuberculosis, Hepatitis and Sexually Transmitted Infections (STIs) has consolidated all existing normative guidance on STIs into a single publication. Structured around 10 chapters that follow the STI prevention and care cascade, the handbook covers primary prevention, synd
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romic management and asymptomatic case identification, diagnostics, treatment, partner management, surveillance, service delivery, and integration within primary health care, community-based clinics, or other platforms (HIV, sexual health, antenatal clinics, etc).
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Artificial intelligence for tuberculosis control: a scoping review of applications in public health
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The GHEC framework is designed to provide guiding principles for standardizing health emergency workforce structures to strengthen the capacity of countries in responding to health emergencies, and to enhance collaboration between countries by better connecting regional and global surge response mec
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This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in heal
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TArtificial intelligence (AI) is transforming health systems, reshaping how care is planned, delivered and governed. This report presents the first assessment of AI integration into health systems across the whole of the WHO European Region, based on findings from the 2024–2025 survey on AI for he
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Following a long recovery from the economic crisis (2007–2013), young people in the EU proved to be more vulnerable to the effects of the restrictions put in place to slow the spread of the COVID-19 pandemic. Young people were more likely than older groups to experience job loss, financial insecur
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Summary available in 22 languages
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