This joint publication by UNAIDS and WHO emphasizes the importance of integrating HIV prevention, testing, treatment and care and mental health services for people living with HIV. It provides a compilation of tools, best practices, recommendations and guidelines that facilitate the integration of i...nterventions and services to address the interlinked issues of mental health and HIV. This publication is intended for global, regional and national policy-makers; programme implementers including at subnational levels; organizations working in and providers of HIV and mental health services; civil society; and community-based and community-led organizations and advocates.
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This document outlines PAHO’s regional priorities for the year 2023 to sustain and scale up health emergency and humanitarian assistance in the Americas, with a focus on five priority countries currently facing a prolonged humanitarian crisis and recovering from recent acute emergencies: Colombia,... El Salvador, Guatemala, Haiti, and Venezuela (Bolivarian Republic of). These goals align with and build on the World Health Organization’s Global Health Emergency Appeal for 2023, its principles, priorities, and strategies.
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Revised National Tuberculosis Control Programme
Clinical care for severe acute respiratory infection: toolkit: COVID-19 adaptation
These guidelines have been developed specifically to address ethical issues of conducting research in children.
The Global Strategy for Tuberculosis Research and Innovation will support the efforts of governments and other stakeholders to accelerate TB research and innovation, and improve equitable access to the benefits of research.
Availabl in Arabic, Chinese, English, French, Spanish and Russian
Rwanda’s fourth health sector strategic plan (HSSP4) is meant to provide the health sector with a Strategic Plan that will highlight its commitments and priorities for the coming 6 years. It will be fully integrated in the overall economic development plan of the Government. HSSP4 will fulfill the... country’s commitment expressed in the national constitution, National Strategy for Transformation (NST) and the aspirations of the Health Sector Policy 2015. The strategies herein adhere to the Universal Health Coverage (UHC) principles towards realisation of the Sustainable Development Goals (SDGs). HSSP4 therefore lays a foundation for Vision 2050 (“The Rwanda We Want”), which will transform Rwanda into a high-income country by 2050. HSSP4 anticipates the epidemiological transition of the country, the increase in population and life expectancy and the expected increase of the health needs of the elderly, notably in Non Communicable Diseases (NCDs). HSSP4 also anticipates a decrease in external financial inflows, hence it is imperative to build secure / resilient health systems.
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AidData has developed a set of open source data collection methods to track project-level data on suppliers of official finance who do not participate in global reporting systems. This codebook outlines the version 1.1 set of TUFF procedures that have been developed, tested, refined, and implemented... by AidData researchers and affiliated faculty at the College of William & Mary and Brigham Young University.
In the first iteration of this codebook, AidData's Media-Based Data Collection Methodology, Version 1.0, we referred to our data collection procedures as a “media-based data collection” (MBDC) methodology. The term “media-based” was misleading, as the methodology does not rely exclusively on media reports; rather, media reports are used only as a departure point, and are supplemented with case studies undertaken by scholars and non-governmental organizations, project inventories supplied through Chinese embassy websites, and grants and loan data published by recipient governments. In the interest of providing greater clarity, we now refer to our methodology for systematically gathering open source development finance information as the Tracking Underreported Financial Flows (TUFF) methodology. This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary and Brigham Young University.
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