The 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) t
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o collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Eastern Province.
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Global cardiovascular disease (CVD) burden is high and rising, especially in low-income and middle-income countries (LMICs). Focussing on 45 LMICs, we aimed to determine (1) the adult population’s median 10-year predicted CVD risk, including its variation within countries by socio-
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demographic characteristics, and (2) the prevalence of self-reported blood pressure (BP) medication use among those with and without an indication for such medication as per World Health Organization (WHO) guidelines.
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Data from the 2000, 2005, and 2011 Ethiopia Demographic and Health Surveys | This report examines trends in key demographic indicators among youth
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from the findings of the 2000, 2005, and 2011 Ethiopia Demographic and Health Surveys (EDHS).
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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
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collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Northern Province.
more
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 an
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alyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey period, 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 Working Papers No. 124
Demographic and Health Surveys, Working Paper
As part of its 2019–2030 global strategy for the prevention and control of snakebite envenoming, WHO is launching a new Snakebite Information and Data Platform. This is the result of collaboration between the Departments of Control of Neglected Tr
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opical Diseases (WHO/NTD) and Data Delivery for Impact & Analytics (WHO/DDI).
With support from the WHO GIS Centre for Health, the platform is developed with a new generation of ArcGIS software. It comprises advanced tools for managing, analyzing, and visualizing updated multi-sourced data, providing an interactive and participative user experience. It includes updated range maps of all medically important venomous snakes, other relevant information, and an integrated antivenom products database.
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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 welfa
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re in sub-Saharan Africa. We use a novel methodology 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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Lancet Glob Health 2019 Published Online January 24, 2019 http://dx.doi.org/10.1016/S2214-109X(18)30479-0
The health-care system collapse underway in Venezuela is a cause of utmost concern for its people and, increasingly, for the wider region. Declines in provision of basic services, such as
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childhood immunisation, malaria control, water, sanitation, and nutritional support, have led to increasing morbidity and mortality rates from an array of preventable diseases, including malaria, measles, and diphtheria. Secondary and tertiary care have also been greatly affected, due to declining investment, out-migration of providers, and spiralling hyperinflation that has driven the country and its people into poverty.1 As is so often, and so tragically, the case, the most affected populations have been the most vulnerable: infants and children, their mothers, the poor (now the great majority of the populations), and indigenous people
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In this entry we are looking at smoking, alcohol consumption and the use of illicit drugs. We are studying who is using these substances, how their use has changed over time, and we are presenting the estimates of their impact on health. Collectively, smoking, alcohol and illicit drug use kills 11.8
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million people each year. This is more than the number of deaths from all cancers
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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
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Health Surveys (RDHS).
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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with
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use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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