NICE guideline
Published: 23 May 2017
Overview
Learning objectives
• Understand the mental health treatment gap in low-, middle- and high-income countries.
• Understand the principles and aims of the Mental Health Gap Action Programme.
• Acquire an introduction to mhGAP Intervention Guide (mhGAP-IG).
• Learn about mhGAP ToH...P training methodology and what to expect from mhGAP ToHP
training.
• Prepare group training ground rules.
• Know the common presentations of mental, neurological and substance abuse (MNS)
conditions.
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Available in Englisch, French and Portuguese
This document accompanies the interim guidance on “Strengthening Preparedness for COVID-19 in cities and urban settings”. It provides local authorities, leaders and policy-makers in cities with a checklist tool to ensure that key areas have been covered. An excel version that local authorities m...ay wish to adapt to meet their needs is also available. It allows filtering by steps of action; suggested domains and responsible teams within local governments for each action; and phase(s) of the emergency management cycle.
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Available in Arabic, Chinese, English, French, Portuguese and Spanish
https://apps.who.int/iris/handle/10665/334254
Background paper 8
The Independent Panel for Pandemic Preparedness and Response
May 2021
The CVIC tool is the WHO-UNICEF tool designed to assist countries in the process of planning and costing COVID-19 vaccination. The aim of this course is to demonstrate the use of the CVIC tool. The course is targeting national programme managers and personnel who have been involved in the costing, b...udgeting or financing processes of COVID-19 vaccine delivery in a country.
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A technical and environmental comparative overview of common shelter typologies found in settlements across UNHCR operations
Minimizing risk of developing antibiotic resistance and aquatic ecotoxicity in the environment resulting from the manufacturing of human antibiotic.
The Standard, facilitated by BSI Standards Limited (BSI), provides clear guidance to manufacturers in the global antibiotic supply chain to ensure t...hat their antibiotics are made responsibly, helping to minimize the risk of AMR in the environment.
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To support its R&D activities on Chagas disease, DNDi launched the Chagas Clinical Research Platform (CCRP). The platform brings together partners, experts, and stakeholders to provide support for evaluation and development of new treatments for Chagas disease. The patient-centred platform aims to f...acilitate clinical research, provide a forum for technical discussions, develop a critical mass of expertise, and strengthen institutional research capacities. In addition, it identifies and reviews priority needs, works towards standardization of methodology to assess drug efficacy and reviews alternatives for using current approved drugs (new schemes, doses, combination) and special scenarios (resistance).
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Cardiovascular disease, heart disease, and coronary heart disease may sound similar but they are not one in the same. This fact sheet will help you understand how these conditions differ.
Cardiovascular disease, heart disease, and coronary heart disease may sound similar but they are not one in the same. This fact sheet will help you understand how these conditions differ.
Air pollution is one of the leading causes of health complications and mortality worldwide, especially affecting lower-income groups, who tend to be more exposed and vulnerable. This study documents the relationship between ambient air pollution exposure and poverty in 211 countries and territories.... Using the World Health Organization’s (WHO) 2021 revised fine particulate matter (PM2.5) thresholds, we show that globally, 7.3 billion people are directly exposed to unsafe average annual PM2.5 concentrations, 80 percent of whom live in low- and middle-income countries. Moreover, 716 million of the world’s lowest income people (living on less than $1.90 per day) live in areas with unsafe levels of air pollution, especially in Sub-Saharan Africa. Air pollution levels are particularly high in lower-middle-income countries, where economies tend to rely more heavily on polluting industries and technologies. These findings are based on high-resolution air pollution and population maps with global coverage, as well as subnational poverty estimates based on harmonized household surveys.
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