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4th edition, Reference Manual
Presentation Current WHO guidance, strategies and lessons learnt of pre- and post-validation surveillance of NTDs
Guidelines on lenacapavir for HIV prevention and testing strategies for long-acting injectable pre-exposure prophylaxis. Web Annex C
Guidelines on lenacapavir for HIV prevention and testing strategies for long-acting injectable pre-exposure prophylaxis. Web Annex D
Mathematical modelling of lenacapavir: landscaping review on impact and cost–effectiveness
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Guidelines on lenacapavir for HIV prevention and testing strategies for long-acting injectable pre-exposure prophylaxis. Web Annex E
Guidelines on lenacapavir for HIV prevention and testing strategies for long-acting injectable pre-exposure prophylaxis. Web Annex F
Guidelines on lenacapavir for HIV prevention and testing strategies for long-acting injectable pre-exposure prophylaxis. Web Annex G Abstract
The National Strategic Plan on Malaria Prevention and Elimination Period 2021 – 2025 seeks to build on the previous national successes of the National Institute of Malariology, Parasitology, and Entomology (NIMPE) while addressing current challenges to reduce the overall burden of malaria in the S
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outhern and Central provinces and to initiate elimination activities in remaining focal areas of transmission throughout the country. The overall targets proposed to be reached by 2025 are:
Reduce malaria morbidity rate to below 0.015/1,000 population
Reduce malaria mortality rate to below 0.002/100,000 population
Eliminate malaria in 55 provinces
Ensure no malaria outbreaks
To address the urgent threat of drug resistance, Viet Nam has committed to accelerate efforts to eliminate locally-acquired P. falciparum by 2023.
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This toolkit suggests several approaches to addressing technology
access disparities. At its core is a comprehensive checklist that helps
teams systematically evaluate their current practices and identify
opportunities for improvement. This structured self-assessment
tool spans both team-level a
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ctions and organisational responsibilities,
recognising that change must occur at multiple levels
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STANDARD OPERATING PROCEDURES - PREVENTION AND CARE FOR CHILD SURVIVORS
Integrated Outbreak Analytics (IOA) applies a multidisciplinary approach to understanding outbreak dynamics and to inform outbreak response. It aims to drive comprehensive, accountable, and effective public health and clinical strategies by enabling communities, and national and subnational health a
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uthorities to use data for operational decision-making. IOA embraces a holistic perspective of outbreak dynamics throughout: from the trigger questions to the data that are collected or accessed, to the interpretation of results and the recommendations that follow. In addition, IOA promotes co-development and monitoring of evidence informed actions.
The IOA toolkit aims to provide a clear understanding of IOA and highlight the importance of using an integrated, holistic approach to manage outbreak responses. It provides step-by-step guidance for setting up IOA and putting IOA principles into action. Finally, this toolkit provides guidance on applying IOA in humanitarian and emergency contexts, offering a practical and adaptable approach to informing public health emergency responses.
Developed based on the model from the Democratic Republic of the Congo (DRC), its creation involved extensive consultation with experts experienced in IOA applications. The toolkit was piloted in Tanganyika Province, DRC, as well as Somalia and Sudan, demonstrating its adaptability to diverse emergency scenarios. It builds upon an existing array of tools, templates, reports, case studies, animations, and publications used by stakeholders in diverse contexts.
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The Policy Framework for Artificial Intelligence in Tanzania's Health Sector was developed through collaboration between multiple stakeholders, including government bodies, academic institutions, non-governmental organisations (NGOs) and international partners. The framework demonstrates Tanzania’
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s dedication to utilising digital technologies and AI to enhance healthcare delivery, facilitate data-driven decision-making, and bolster the resilience of the healthcare system. Although AI integration in Tanzania’s health sector is still in its infancy, a growing number of initiatives are highlighting its potential in clinical care, research, and system management. The Ministry of Health, in collaboration with partners including the President’s Office (PORALG), Fondation Botnar, MUHAS, UDOM and PATH, has spearheaded this initiative with the aim of using AI to minimise errors, improve clinical outcomes and boost the efficiency of the health system.
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The Multi-Hazard Early Warning System (MHEWS) Checklist is a practical tool consisting of major components and actions that national governments, community organizations and partners within
and across all sectors can refer when developing or evaluating early warning systems
The World Health Organization recently redefined leprosy elimination as a phased process, with the first milestone being the
interruption of transmission, achieved when no new child cases (defined as younger than 15 years) are reported for five consecutive years.
In Pakistan, the well-functioning
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leprosy programme, with effective case management, context-specific active case-finding strategies and
a robust data management system, has contributed to a decrease in new cases. Between 2001 and 2023, new adult cases dropped by 75%
(from 878 cases to 220 cases annually) and child cases by 83% (from 93 to 16). To support the country’s goal of no new child cases by 2030
and ultimately eliminate the disease, the nongovernmental organizations Marie Adelaide Leprosy Centre and Aid to Leprosy Patients, with
support from the German Leprosy and Tuberculosis Relief Association, have developed a zero leprosy roadmap. As part of this roadmap,
the leprosy elimination strategy emphasizes improving active case-finding and providing post-exposure prophylaxis for contacts of leprosy
cases, who are at the highest risk
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Effective surveillance and monitoring of noncommunicable diseases (NCDs) and their risk factors are essential for informing evidence-based public health policies, addressing health inequities, and ensuring progress toward global and regional targets. By tracking trends in NCDs, their modifiable risk
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factors such as tobacco use, unhealthy diets, physical inactivity, harmful use of alcohol, and air pollution, along with biological risk factors such as overweight and obesity, high blood pressure (hypertension), and elevated blood glucose (diabetes), policymakers can identify emerging threats, target vulnerable populations, allocating resources efficiently. Reliable data also enable countries to evaluate interventions, adjust policies, and strengthen health systems to reduce the burden of NCDs.
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