Lancet Glob Health 2015; 385: e387–95. Open Access
Lancet Glob Health 2015; 3: e396–409. Open Access
DHS Working Papers No. 84
DHS Working Papers No. 119
R4D conducted a thorough desk review and qualitative fiscal space analysis, 19 interviews about financing for the three diseases and the extent of alignment between public financial management systems and health policy objectives, and a validation workshop with government officials.
Tanzania’...s disease response faces a triple transition challenge: replacing donor funding, closing the resource gap that would exist even with donor funding, and more efficiently delivering on disease response objectives.
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Overview: Risk communication and community engagement are essential for any disease outbreak response. This is particularly critical during outbreaks of Ebola which may create fear in the public and frontline responders alike due to severe presentation of symptoms, misunderstanding of the causes of ...illness and high fatality rates. This document outlines some of the key considerations for risk communication and community engagement response to Ebola outbreak in Democratic Republic of the Congo.
Ebola outbreaks have been associated with misinformation and false rumours. In the context of RCCE, rumours refer to unsubstantiated information, claims or beliefs about what is causing the disease or how it can be treated/cured. If not proactively addressed in culturally appropriate ways, misinformation and rumours can lead to the further rapid spread of the disease and unnecessary deaths, severe disease, suffering, and societal and economic loss.
The publication includes a 'Rumour Tracking Tool' (Annex II).
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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BMC Public Health (2019) 19:1608
https://doi.org/10.1186/s12889-019-7853-3
Productive and Inclusive Cities for an Emerging Democratic Republic of Congo
Aviation plays an important role in humanitarian operations around the world, especially in countries where overland transport is difficult or impossible due to insecurity, damaged or inadequate infrastructure, and challenging climatic conditions. Aviation allows the transport of humanitarian aid wo...rkers and humanitarian cargo to communities in some of the world’s most inaccessible places.
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This paper explores access to water, sanitation, and health in pastoral communities in northern Tanzania. It argues that the concept of gender, used on its own, is not enough to understand the complexities of sanitation, hygiene, water, and health. It explores pastoralists’ views and perspectives ...on what is ‘clean’, ‘safe’, and ‘healthy’, and their need to access water and create sanitary arrangements that work for them, given the absence of state provision of modern water, sanitation, and hygiene (WASH) infrastructure. Although Tanzania is committed to enhancing its citizens’ access to WASH services, pastoral sanitation and hygiene tend to be overlooked and little attention is paid to complex ways in which access to ‘clean’ water and ‘adequate sanitation’ is structured in these communities. This paper offers an intersectional analysis of water and sanitation needs, showing how structural discrimination in the form of a lack of appropriate infrastructure, a range of sociocultural norms and values, and individual stratifiers interact to influence the sanitation and health needs of pastoralist men, women, boys, and girls.
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