Updated: 27 December 2013
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Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 83
Further Analysis of the 2000, 2005, 2010, and 2014 Cambodia Demographic and Health Surveys | DHS Further Analysis Reports No. 106
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 80
Further Analysis of the 2000, 2005, and 2011 Demographic Health Surveys. DHS Further Analysis Reports No. 72
Census Report Volume 4-E
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 million, but the 2014 Census showed that the population... (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia.
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In low- and middle-income middle-income countries, reliable and disaggregated disability data on prevalence, participation and barriers are often unavailable. This study aimed to estimate disability prevalence, determine associated socio-demographic factors and compare access in the community betwee...n people with and without disability in Dehradun district of Uttarakhand, India, using the Rapid Assessment of Disability survey.
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Info-graphic on Fast Facts from the 2014-15 Rwanda Demographic and Health Survey.
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 use of antenatal care (ANC), health facility delive...ry, 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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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).
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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Accessed on 13.02.2020
Tirer pleinement profit du dividende démographique, mettre fin à l’épidémie de sida et assurer durablement la santé pour tous en Afrique.
Ce rapport plaide pour une nouvelle initiative majeure : recruter, former et déployer rapidement 2 millions d’agents de s...anté communautaires en Afrique. S’appuyant sur un vaste éventail de preuves et une solide expérience régionale, le rapport montre comment les agents de santé communautaires sauvent des vies et améliorent la qualité de vie. Il montre également comment les investissements dans les agents de santé communautaires exploitent efficacement le dividende démographique, réduisent l’inégalité entre les sexes et accélèrent la croissance économique et le développement. En effet, les avantages des agents de santé communautaires s’étendent sur l’ensemble du programme de développement durable.
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Accessed on 03.03.2020
The country recognizes the importance of family planning as they focus on achieving a demographic dividend. In order to improve the service delivery and supply chain, Senegal is strengthening its data management and reporting. Domestic resource mobilization for family plannin...g remains a key challenges for Senegal.
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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 use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy 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 12regions.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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15 July 2021. This report describes the demographics, clinical presentation, clinical outcomes, and risk factors among people living with HIV (PLHIV) who have been hospitalized for suspected or confirmed COVID-19.
The specific objectives of the analysis were to:
describe the clinical char...acteristics and outcomes of PLHIV hospitalized for COVID-19
assess whether PLHIV hospitalized with COVID-19 were at increased risk of presenting with severe or critical illness at admission and were at increased risk of in-hospital death compared to individuals not infected with HIV
assess risk factors associated with severe or critical illness at hospital admission and of in-hospital death among PLHIV hospitalized for COVID-19.
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Core Indicators 2019: Health Trends in the Americas starts with a demographic overview of the Americas to demonstrate how the Region has changed over 25 years. These key demographic indicators provide valuable context to better understand the population’s characteristics and their impact on health.... Brief narratives accompany the graphics to highlight important information.
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Throughout the Americas, populations are aging and the Region is undergoing a rapid demographic transition. The aging index, which reflects the size of the older age groups per 100 compared to children under age 15, clearly demonstrates the increase in people aged 60 and older. Compared to global tr...ends, the Region of the Americas will have a larger number of people aged 60 and older than children under 15 by 2030, which is approximately 25 years before the global average. The COVID-19 pandemic has presented an unparalleled health crisis around the world. The impact on older persons and those with underlying health conditions has highlighted the challenges of addressing the needs of older populations during a public health emergency. Given this demographic transition it is essential to think about preparedness of systems and services to address this population’s needs, including an increase in emergency planning and protection of older populations.
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This report presents findings from research conducted by Economist Impact to assess the health, demographic, social and economic impacts associated with different scenarios for financing the HIV epidemic across 13 selected countries in Sub-Saharan Africa. The sponsorship of UNAIDS towards this repor...t is gratefully acknowledged. However, the findings and ideas expressed herein represent those of Economist Impact. They do not necessarily reflect the views and opinions of UNAIDS, nor do they engage the responsibility of UNAIDS.
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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 important development outcomes: education, health, and nu...trition. 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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To better adapt current case management practices and address excess mortality in otherwise treatable
cases will require better knowledge of the demographic characteristics of the patients and comorbidities
which can make severe dehydration harder to tolerate physiologically. With this in mind, a ...scoping review
was undertaken, to explore the literature and summarise the existing evidence on cholera mortality and
reported risk factors.
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