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 chil...d 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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Updated: 27 December 2013
Basic Indicators | Nutrition | Health | HIV/AIDS | Education | Demographic Indicators | Economic Indicators | Women | Child Protection | The Rate Of Progress | Adolescents | Disparities By Residence | Disparities By Household...span> Wealth | Early Childhood Development
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Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status—... medbox">wealth and education—differ among high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
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DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat...al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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The study collected data on the impact of HIV-related diseases on income, revenues, economic dependency, consumption, education, health, food security, stigma, discrimination, quality of life, and migration. The study also assessed people living with chronic diseases in order to compare the impact o...f living with HIV/AIDS with the impact of living with a chronic disease.
Stigma, discrimination, and socio-economic exclusion continue to affect the rights and socio-economic opportunities of people living with HIV in Myanmar. Households with a family member who has HIV, have lower incomes, fewer assets and lower home-ownership, compared to households that are not affected by HIV. They also have more household debt, and their families pay a higher rate of interest compared to families not affected by HIV.
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No publication year indicated
Natural disasters and emergencies frequently cause power outages that can compromise the quality and safety of food. These flyers include tips to reduce food safety risks during a power outage for households, food suppliers, vendors, food industry inspectors and workers.
Accessed June 2018 | UNICEF Data: Monitoring the Situation of Children and Women
After a flood, food that has been in contact with flood-water may have become unsafe for human consumption. These flyers include tips to reduce food safety risks in the event of a flood for households,
DHS WORKING PAPERS 2016 No. 126 | DEMOGRAPHIC AND HEALTH SURVEYS
DHS Working Papers No. 101
Women’s empowerment, HIV testing, birth in past five years, Tanzania
HIV Prevalence: Data from the 2010 Rwanda Demographic and Health Survey.
DHS Working Papers No. 98.
This technical brief presents the current options for safe storage and point of use water treatment. It is intended to help field staff working in a variety of locations to decide upon the most appropriate course of action for providing safe water for the communities in which they work. The effectiv...eness of household water treatment options now and in the future rely to a huge extent on user compliance; it is critical that users are involved in the decision making process, and are aware of the purpose, how to use, maintain and manage their household water options. The brief therefore details relevant hygiene promotion steps for the different treatment options.
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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 methodology to test the effect of Chinese aid on three import...ant 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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