DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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This report details the nutrition situation in Namibia. It provides information on what needs to be done! The situation calls for a consorted action. Nutrition is everyone’s business.The establishment of the National Alliance for Improved Nutrition (NAFIN) is a positive response to this urgency. N...AFIN is a multi-sectoral and multi-stakeholder association, not for gain.
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A GUIDE FOR HEALTH WORKERS AND AUTHORITIES IN NIGERIA
DHS Comparative Reports No. 41
DHS Analytical Studies No. 51
Child Health, Family Planning, Geographic Information, HIV, Malaria, Maternal Health
DHS Working Papers No. 82
DHS Working Papers No. 120
After almost 50 years of military dictatorship, and following the 2010 general elections which were rigged in favour of the military Union Solidarity and Development Party (USDP), Myanmar underwent a series of political reforms from 2011 onwards. In November 2015, the first free general elections si...nce the 1990 elections resulted in a victory for the National League for Democracy (NLD). The NLD formed a new government in 2016 with Htin Kyaw as the first non-military president since 1962, and with Aung San Suu Kyi in the newly-created position of State Counsellor.
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DHS Further Analysis Reports No. 88 - This further analysis examines levels, trends, and determinants of neonatal mortality in Rwanda, using data from the 2000, 2005, and 2010 Rwanda Demographic and Health Surveys (RDHS).
Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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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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