This booklet provides an overview of all findings from the Global Burden of Disease 2017 study. Published in The Lancet in November 2018, GBD 2017 provides for the first time an independent estimation of population, for each of 195 countries and territories and the globe, using a standardized, repli
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cable approach, as well as a comprehensive update on fertility. Produced with the input of 3,676 collaborators from 146 countries and territories, GBD 2017 incorporates major data additions and improvements, and methodological refinements. GBD 2017 also includes estimates at the subnational level for selected locations.
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Erratum on the Rwanda Demographic and Health Survay 2010 final report | Date of correction: December 2, 2014 | Correction: Page 84, Table 6.6 - Table 6.6 has been rerun to correct an error in the total wanted fertility
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rate calculation. The corrected table is shown below. Only the total wanted fertility rate is affected by this change; the total fertility rate remains unchanged.
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DHS Qualitative Research Studies No. 19
DHS Working Papers No. 120
The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals
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(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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Nepal has made substantial progress in reducing under-five mortality and is on track to achieve Millennium Development Goal 4, but advances in neonatal health are less encouraging. The objectives of this study were to assess relative and absolute inequalities in neonatal mortality over time, and to
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review experience with major programs to promote neonatal health.
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Census Report Volume 4-B
In the 2014 Census, early-age mortality was measured from the responses to two simple retrospective questions on childbearing addressed to ever-married women aged 15 and over. These questions referred to how many live children they had ever given birth to, and how many
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had died (or survived). Adult mortality was measured by using a question on the number of household members who had died during the 12 months preceding the Census.
According to the 2014 Census, infant and child mortality, which comprises under-five mortality, was high compared to other countries in the region. Previous estimates indicated a rapid decline during the 1960s and 1970s, with a substantial deceleration starting in the early 1980s. The decline has accelerated again during recent years.
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The primary objective of the 2015-16 MDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the MDHS collected information on fertility levels, marriage,
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fertility preferences, awareness and use of family planning methods, breastfeeding practices, nutrition, maternal and child health and mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections (STIs), and other health-related issues such as smoking and knowledge of tuberculosis. As the 2015-16 MDHS is the first DHS survey in the country, trend analysis is not carried out in this report.
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The DHS report itself explains the purpose was, “to obtain and provide information on basic indicators of social progress including fertility, childhood mortality, reproductive and child health, nutritional status of children, and awareness of HIV
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/AIDS and other health-related issues” in PNG. This is important because a DHS then provides the evidence base for PNG officials themselves to track progress in PNG over time, compare trends with other comparable countries, and then allocate financial and human resources to where they are needed most.
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he National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication illu
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strates the profile of Northern Province.
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