We combine data on Chinese development projects with data from Demographic and Health Surveys to study the impact of Chinese aid on household welfare in sub-Saharan Africa. We use a novel methodolog...y to test the effect of Chinese aid on three important development outcomes: education, health, and nutrition. For each outcome, we use difference-in-difference estimations to compare household areas near Chinese project sites to control areas located farther away, before and after receiving Chinese aid. This empirical strategy rules out many confounding factors that can bias measuring the impact of Chinese aid on our outcome variables. First, we find that Chinese projects significantly improve education and child mortality in treatment areas, but do not significantly affect nutrition. Second, social sector projects have a larger effect on outcomes than economic projects. Third, we do not find significant effects for projects that ended more than five years before the post-treatment survey wave. Our results are robust to a host of robustness checks.
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2018 monitoring report: current status and strategic priorities
The report sets out the status of women’s, children’s and adolescents’ health, ...and on health systems and social and environmental determinants. Regional dashboards on 16 key indicators highlight where progress is being made or lagging. There is progress overall, but not at the level required to achieve the 2030 goals. There are some areas where progress has stalled or is reversing, namely neonatal mortality, gender inequalities and health in humanitarian settings.
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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys me...asure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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The World Health Organization and the Global Fund to Fight AIDS, Tuberculosis and Malaria are part of a group of agencies working together to accelerate progress towards the health-related SDGs thro...ugh the Global Action Plan for Healthy Lives and Well-being for All. Understanding patterns of inequalities in these diseases is essential for taking strategic, evidence-informed action to realize our shared vision of ending the epidemics of HIV, TB and malaria.
This report presents the first comprehensive analysis of the magnitude and patterns of socioeconomic, demographic and geographic inequalities in disease burden and access to services for prevention and treatment.
The results confirm there have been improvements in service coverage and decreased disease burden at the national level over the past decade. But they also reveal an uncomfortable reality: unfair inequalities between population subgroups within countries are widespread and have remained largely unchanged over the past decade. For some disease indicators, inequalities are even worsening.
Moreover, the report points to the persistent lack of available data to fully understand inequality patterns in HIV, TB and malaria. Collecting data to improve the monitoring of inequalities in these diseases is vital to develop targeted responses for impact.
There are, encouragingly, isolated successes in reducing inequities. Change is possible when deliberate action is taken to reach disadvantaged populations.
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Healthy Settings, a key component of Malawi’s Health Sector Strategic Plan (HSSP) 2011–2016, is the World Health Organization’s (WHO) holistic community-led approach to achieving health improvement by addressing social determinants of health, ...an approach which is central to the current WHO framework on integrated people-centred health services. Healthy Settings projects by their construct have many different components which vary from one group and community to another depending on their priorities: from housing, hospital improvements and waste management to “softer” interventions like leadership skills training and health promotion. It can be challenging to find relevant indicators to monitor and assess the impact of such a complex holistic project, this paper explores if social capital data can provide useful impact assessment indicators at the start of such a project.
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South Africa has faced many challenges over the past two decades, accomplishing profound positive changes in the social structure and government of the nation. This has not yet fully trans...lated into better health for the population, however, particularly the poorest segment. In fact, the population has lost ground since the 1990s in virtually all important health indicators, leaving South Africa with a high burden of infectious disease.
August 2011, Vol. 101, No. 8 SAMJ
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This report is from the National study on living conditions among people
with disabilities carried out in Nepal in 2014-2015. The study was carried
out as a household survey with two-stage stratified sampling, including a screening/listing procedure using the Washington Group on Disability
Statis...tics 6 questions, one Household questionnaire administered to
households with (Case HHs) and without disabled members (Control
HHs), one Individual Case questionnaire administered to individuals who were found to qualify as being disabled in the screening (Case
individuals), and an Individual Control questionnaire administered to
matched non-disabled individuals in the Control HHs (Control individuals). The study covers a range of indicators on level of living, such as socioeconomic indicators, economic activity, income, ownership and infrastructure, health (including reproductive health), access to health information, access to services, education, access to information, social participation, and exposure to discrimination and abuse (see all
questionnaires in Appendix).
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The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-t...erm period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwanda towards achieving its aspirations of being high middle income country by 2035 and high income country by 2050.
The primary objectives of this study were to assess Rwanda’s prospects for harnessing the demographic dividend and demonstrate priority policy and programme options that the country should adopt in order to optimise its chances of earning a maximum demographic dividend in the context of its youthful population and medium, long-term socio-economic development aspirations.
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Annual Household Survey 2015/16 is the forth survey of its kind. These annual surveys are conducted to provide estimations of some major socio-economic indicators on annual basis which would not be possible with other periodic surveys like Nepal Lab...our Force Surveys (NLSS) and Nepal Living Standard Surveys (NLSS) which are undertaken at longer intervals. The survey basically aims to provide estimates of consumption by sex, urban-rural area and by consumption quintiles/deciles. Although the major thrust of Annual Household Survey is on consumption and employment situations, other sectors like education, housing and housing facilities and demographic characteristics are also included. As this year NLSS survey is conducted so, this survey does not contain information on employment situation as in previous annual household surveys.
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This third edition of the National Gender Statistics Report provides the updated sex-disaggregated data in twelve fields: Population and Youth; Education; Health and Nutrition; Economic Activity ...an class="attribute-to-highlight medbox">and time use; Poverty & Social Protection; Justice & Human rights; Environment and Natural Resources; Decisionmaking and Public life; Infrastructure, ICT and Media; Trade and Business and Industry; Agriculture, Livestock and Forestry, and lastly the Income and Access to Finance. It should be noted that this report takes into account almost all quantitative indicators of the United Nations Minimum Set of Gender Indicators (UNMSGI) as developed by the United Nations Statistical Division (UNSD) and some of the approved quantitative SDGs gender related indicators.
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