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Publication Years
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2636
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Category
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Toolboxes
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649
642
585
345
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2
The application of digital health technology is growing at a rapid rate in Africa, with the goals of improving the delivery of healthcare services and more effectively reaching out to remote and underserved communities. The lack of enabling guidelines and standards across the continent, on the other
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hand, makes it difficult to share data in a meaningful way across the continent.
Considering this, Africa Centres for Disease Control and Prevention (Africa CDC) established a task force of 24 members to provide expertise and guidance in the development of AU HIE guidelines and standards. Members of the task force were subject matter experts working in Africa and internationally on the collection, analysis, and exchange of health information. Some of these experts had been involved in previous consultations on defining Africa CDC’s health information systems strategy. A chairperson, co-chairperson, and secretary were elected to engage the task force members in different technical working groups.
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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 outl
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ines 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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This country snapshot provides an overview of national data relating to sexual and reproductive health and rights (SRHR) throughout the life course. Realization of SRHR requires provision of comprehensive, people-centred services, that address the d
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ifferent elements of SRHR, and which are supported by an enabling environment, quality health systems, and meaningful community engagement. Multiple, synergistic cross-linkages exist within and between the different SRHR elements, leading to sequential outcome benefits throughout the life course.
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Infographics and data
J Fungi (Basel) . 2019 Aug 16;5(3):75. doi: 10.3390/jof5030075 . Namibia is a sub-Saharan country with one of the highest HIV infection rates in the world. Although care and support services are available that cater for opportunistic infections related to HIV, the main focus is narrow and predominan
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tly aimed at tuberculosis. We aimed to estimate the burden of serious fungal infections in Namibia, currently unknown, based on the size of the population at risk and available epidemiological data. Data were obtained from the World Health Organization (WHO), Joint United Nations Programme on HIV/AIDS (UNAIDS), and published reports.
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WHO Guidelines for the Treatment of Human African Trypanosomiasis. Web Annex B
World malaria report 2024
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New data from the WHO reveal that an estimated 2.2 billion cases of malaria and 12.7 million deaths have been averted since 2000, but the disease remains a serious global health threat, particularly in the WHO African Region. According to WHO’s la
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Cancer centres are a major resource in ensuring a comprehensive approach to cancer treatment and its planning. As part of a new roadmap developed by WHO and IAEA to help countries design national cancer control programmes, this publication proposes
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Data from the 2011 Ethiopia Demographic and Health Survey
The Socio-Economic Impact of People Living with HIV at the Household Level in Myanmar
Cercone, James; Pinder, Étoile; Pothuis, Michal et al.
The Republic of the Union of Myanmar, Ministry of Health and Sports; UNDP
(2016)
C1
The study collected data on the impact of HIV-related diseases on income, revenues, economic dependency, consumption, education, health, food security, stigma, discrimination, quality of life, and migration. The study also assessed people living wit
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h chronic diseases in order to compare the impact of living with HIV/AIDS with the impact of living with a chronic disease.
Stigma, discrimination, and socio-economic exclusion continue to affect the rights and socio-economic opportunities of people living with HIV in Myanmar. Households with a family member who has HIV, have lower incomes, fewer assets and lower home-ownership, compared to households that are not affected by HIV. They also have more household debt, and their families pay a higher rate of interest compared to families not affected by HIV. more
Stigma, discrimination, and socio-economic exclusion continue to affect the rights and socio-economic opportunities of people living with HIV in Myanmar. Households with a family member who has HIV, have lower incomes, fewer assets and lower home-ownership, compared to households that are not affected by HIV. They also have more household debt, and their families pay a higher rate of interest compared to families not affected by HIV. more
