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Ce document a été élaboré par Peter Ventevogel, consultant, sous la supervision de Marian Schilperoord. Les versions préliminaires de cette publication ont grandement bénéficié de la contribution de plusieurs personnes au sein de l’UNHCR et d’organisations partenaires. Nous voudrions tou
...
t particulièrement remercier les collègues suivants pour leur relecture du document : A l’UNHCR: Gregory Garras, Sarah Harrison, Alexandra Kaun, Stefanie Krause, Preeta Law, Allen Gidraf Kahindo Maina, MaryBeth Morand, Audrey Nirrengarten, Martina Nicole Pomeroy, Monika Sandvik-Nylund, Ita Sheehy, Paul Spiegel, Margriet Veenma and Constanze Quosh. Dans les autres organisations: Carolina Echeverri (consultante SMSPS) Sabine Rakotomalala (UNICEF), Emmanuel Streel (consultant SMSPS), Wietse Tol (Université Johns Hopkins) Mark van Ommeren (OMS) et Inka Weissbecker (International Medical Corps).
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The Urban Health Equity Assessment and Response Tool (Urban HEART) is a user-friendly guide for policy- and decision-makers at national and local levels to: identify and analyse inequities in health between people living in various parts of cities, or belonging to different socioeconomic groups with
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in and across cities; facilitate decisions on viable and effective strategies, interventions and actions that should be used to reduce inter- and intra-city health inequities.
Also available in French and Spanish: https://apps.who.int/iris/handle/10665/79060
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Цель настоящего документа («Основные положения») заключается в подготовке рекомендаций относительно необходимых на национальном уровне мер по адаптации стратег
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и Всемирной организации здравоохране-ния по ликвидации туберкулеза, началу ее осуществления и реализации.
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В Руководстве представлены определение туберкулеза и методы его выявления, методы диагностики и лечения туберкулеза, формы организации и управления противотубер
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The report is geared towards mayors, local government officials and city policy planners.It highlights key areas where city leaders can tackle the drivers of NCDs, including tobacco use, air pollution, poor diets and lack of exercise, and improve road safety.
From anti-tobacco actions in Beijing a
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nd Bogor, to road safety initiatives in Accra and Bangkok, a bike sharing scheme in Fortaleza, and actions to create walkable streets for seniors that have reduced elderly pedestrian deaths by 16% in New York City, the report aims to share knowledge between urban policy planners.
Of the 19 case studies cited, 15 are from developing countries, where 85% of premature adult deaths through NCDs take place, and over 90% of road traffic fatalities are recorded. You can download the case studieson the website https://www.who.int/ncds/publications/tackling-ncds-in-cities/en/.
Over 90% of future urban population growth will be in low or middle-income countries, and seven of the world’s 10 largest cities are in developing countries.
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Constituting the fourth part of the World Drug Report 2022, this booklet focuses on the market dynamics of various stimulants – cocaine, amphetamines and “ecstasy” – and of NPS.
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The compendium compiles practical case studies on the use of Geospatial Artificial Intelligence (GeoAI) to enhance disaster risk reduction and emergency response across diverse geographic and institutional contexts.
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pport Offices (RSOs) working across Asia, Africa, Latin America, and Europe. These examples highlight how GeoAI, is being used to forecast floods, map wildfire risk, assess landslide susceptibility, monitor droughts, and support emergency response. Each project demonstrates how cloud-based platforms and machine learning tools help governments act faster and more precisely when disaster strike.
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Teacher Handbook
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Meeting Report ECDC/WHO Joint Meeting on European HIV/AIDS Surveillance 10-11 March 2016, Bratislava
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An information package for school staff
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Operational Guidelines.
Guidelines for the development of educational programmes for MHM, including tips on the topics to address and methods to assess girls’ practices in a respectful way with practical tools
The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic
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ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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