Updated to Reflect the 2009 Medical Eligibility Criteria of the World Health Organization
Further analysis of the 2011 Nepal Demographic and Health Survey
Further analysis of the Nepal Demographic and Health Surveys, 2001-2011
Further analysis of the 2011 Nepal Demographic and Health Survey
The Demographic Dividend study on Rwanda assessed the socio economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well informed polciy required to propel Rwan...da 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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The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwan...da 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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To understand the patterns of Rwanda’s achievements in health development, it is important to explore how Rwanda addresses the Social Determinants of Health (SDH) particularly those related to routine conditions in which people are born, live and work. It is in this particular context that a case ...study on Rwanda’s Performance in Addressing Social Determinants of Health was conducted by the Rwanda Ministry of Health, with technical and financial support from the World Health Organization (WHO). The overall goal of the exercise was to document Rwanda's recent initiatives that contribute to the advancements of the Rio Political Declaration on Social Determinants of Health.
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Nigeria is Africa’s most populous nation and accounts for nearly one quarter of the continent’s maternal, newborn and child deaths. In the spirit of the global Countdown to 2015 for Maternal, Newborn and Child Health and the Nigerian Saving One Million Lives Initiative, these state data profiles... have been designed to prompt and inform policy and programme action.
Without data there can be no accountability. Without accountability we risk making no progress for Nigeria’s women and children. The data included in these profiles come mainly from large-scale, periodic household surveys. Continued efforts are needed to strengthen civil registration, vital statistics and health management information systems, as well as the institutional capacity to gather and use these data.
Updated from 2011, these data profiles can be used to compare progress in different areas, identify opportunities to address specific coverage gaps, and monitor implementation.
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The guide helps network managers and technical experts navigate the steps necessary for gathering, structuring, analyzing and reporting information needed to make strategic plans that improve sustainability and equity.
Lancet Neurol. 2019 Apr;18(4):357-375. doi: 10.1016/S1474-4422(18)30454-X. Epub 2019 Feb 14.
This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and fut...ure scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
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The world’s population is projected to grow from 7.7 billion in 2019 to 8.5 billion in 2030 (10% increase), and further to 9.7 billion in 2050 (26%) and to 10.9 billion in 2100 (42%). The population of sub-Saharan Africa is projected to double by 2050 (99%). Other region...s will see varying rates of increase between 2019 and 2050: Oceania excluding Australia/New Zealand (56%), Northern Africa and Western Asia (46%), Australia/New Zealand (28%), Central and Southern Asia (25%), Latin America and the Caribbean (18%), Eastern and South-Eastern Asia (3%), and Europe and Northern America (2%).
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Updated version – September 2020
The COVID-19 pandemic is affecting everyone. Globally, millions of people have been infected with the virus, while hundreds of thousands have lost their lives. In Moldova, the pandemic is placing an ever-increasing pressure on the health care and social protectio...n systems, causing major disruptions to economic processes and limitations to social life, deepening inequalities and proving how vulnerable we are.
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Malnutrition in childhood and pregnancy has many adverse consequences for child survival and long-term well-being. It
also has far-reaching consequences for human capital, economic productivity, and national development overall. The
consequences of malnutrition should be a significant concern for ...policy makers in Burkina Faso, since around 672,000
children under 5 years (21 percent) suffer from chronic malnutrition (stunting or low height-for-age) and 10 percent
suffer from acute malnutrition (wasting or low weight-for-height) (Ministère de la Santé [MOH] et al. 2018).
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