Data from the 2011 Ethiopia Demographic and Health Survey
Demographic and socioeconomic data Progress towards HIV testing and treatment cascade targets by 2025 (2023) Health sector cascade (2023) Estimated number of people newly infected with HIV
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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Accessed on 31.01.2020
The Senegal Continuous Survey is designed to provide yearly data for monitoring the population and health situation in Senegal through both a Demographic and Health Survey and Service Provision Assessment. The 4th phase of the five-year Continuous Survey was implemented in... 2016.
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Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data were collected, but the survey period did not overl...ap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
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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).
Contains data from World Health Organization's data portal covering the following categories:
Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, Neglected Tropical Disea...ses, World Health Statistics, Health financing, Tobacco, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health inequality monitor, Health Equity Monitor, Child malnutrition, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, 0, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe)
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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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Background: Data on burden of peripheral artery disease (PAD) and its attributable risk factors are valuable for policymaking. We aimed to estimate the burden and risk factors for PAD from 1990 to 2019.
Methods: We extracted the data on prevalence, incidence, death, years lived with disability (YLD...s), and years of life lost (YLLs) from the Global Burden of Disease Study 2019 to measure PAD burden. Moreover, the attributable burden to PAD risk factors was also estimated.
Results: Globally, in 2019, 113,443,017 people lived with PAD and 10,504,092 new cases occurred, resulting in 74,063 deaths, 500,893 YLDs, and 1,035,487 YLLs. The absolute numbers of PAD prevalent and incident cases significantly increased between 1990 and 2019, contrasting with the decline trends in age-standardized prevalence and incidence rates. However, no statistically significant changes were detected in the global age-standardized death or YLL rates. The burden of PAD and its temporal trends varied significantly by location, gender, age group, and social-demographic status. Among all potentially modifiable risk factors, age-standardized PAD deaths worldwide were primarily attributable to high fasting plasma glucose, followed by high systolic blood pressure, tobacco, kidney dysfunction, diet high in sodium, and lead exposure.
Conclusion: PAD remained a serious public health problem worldwide. More strategies aimed at implementing cost-effective interventions and addressing modifiable risk factors should be carried out, especially in regions with high or increasing burden.
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For the 24th consecutive year, PAHO has published the report Health Situation in the Americas: Core Indicators featuring the latest information on key indicators for the Region of the Americas. This 2018 edition includes data on the 82 core indicators for the countries, territories, and sub regions ...of the Americas, grouped into the following categories: demographic-socioeconomic, health status, risk factors, service coverage, and health systems. Information is also presented on 22 indicators of the Sustainable Development Goals (SDGs).
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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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Needs assessment and analysis
Collect and analyze sex, age and disability disaggregated data (SADDD) and conduct a participatory gender analysis to understand different health needs, capacities, barriers and aspirations and identify populations with special health requirements
Population demogra...phics. E.g. pregnant and lactating women, infants, elderly, unaccompanied children, persons with disabilities, chronically ill persons 9 Gender roles and power dynamics. E.g. ability of women, girls, men and boys to make health decisions and access services; roles and responsibility of household members in health.
Gender and cultural norms and practices. E.g. preference for mixed/segregated facilities and staff; socio-cultural and religious taboos and beliefs around health, practices and beliefs on menstruation, practices and expectations on pregnancy, childbirth and breastfeeding; traditional health care providers
Intersectional issues. E.g. access to health care for LGBTIQ persons, for GBV survivors, for adolescent girls and boys
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This document presents the findings of the National Census of Persons with Disabilities in Rwanda. The preliminary result of this census has been used to produce a summary analysis of tables and figures. It shall be possible to derive basic socio-demographic indicators as well as to obtain the estim...ate of persons with disability in Rwanda, all of which shall serve as a reference to the categorization activity planned to be done in the near future by a medical committee from the Ministry of Health. The data of this report relate to (1) Persons with disability size for various administrative units (Districts and Provinces), (2) Distribution of Persons with disabilities by sex, age, marital status and type of disabilities.
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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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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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Because of the limited access to more powerful diagnostic tools, there is a paucity of data regarding the burden of fungal infections in Burkina Faso. The aim of this study was to estimate the incidence and prevalence of serious fungal infections in this sub-Saharan country. We primarily used the na...tional demographic data and performed a PubMed search to retrieve all published papers on fungal infections from Burkina Faso and its surrounding West African countries. Considering the prevalence of HIV infection (0.8% of the population) and a 3.4% incidence of cryptococcosis in hospitals, it is estimated that 459 patients per year develop cryptococcosis. For pneumocystosis, it is suggested that 1013 new cases occur every year. Taking into account the local TB frequency (population prevalence at 0.052%), we estimate the prevalence of chronic pulmonary aspergillosis at 1120 cases. Severe forms of asthma with fungal sensitization and allergic bronchopulmonary aspergillosis are estimated to affect 7429 and 5628 cases, respectively. Vulvovaginal candidiasis may affect 179,000 women, and almost 1,000,000 children may suffer from tinea capitis. Globally, we estimate that roughly 1.4 million people in Burkina Faso (7.51% of the population) suffer from a serious fungal infection. These data should be used to drive future epidemiological studies, diagnostic approaches, and therapeutic strategies.
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Heart failure (HF) is a global public health concern with disproportionate socioeconomic, morbidity and mortality burden on low- and middle-income countries (LMICs). This review summarises contemporary data on the demographic and clinical characteristics, aetiologies, treatment, economic burden and ...outcomes of HF in LMICs. Patients with HF in LMICs are younger than those from high-income countries (HICs) and present at advanced stages of the disease. Hypertension, ischaemic heart disease (IHD), cardiomyopathy (CMO), and rheumatic heart disease (RHD) are the leading causes of HF in LMICs. The contribution of infectious diseases to HF remains prominent in many LMICs. Most health facilities in LMICs lack adequate diagnostic tools for HF, and the use of evidence-based medical and device therapies is suboptimal. Further, HF in LMICs is associated with prolonged hospital stay and high in-hospital and one-year mortality. Finally, HF has profound economic impact on individual patients who, mostly, have no health insurance, and on societies where patients are young, comprising those who have the greatest potential to contribute to economic productivity.
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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 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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Neonatal mortality is a major challenge in reducing child mortality rates in Nepal. Despite efforts by the Government of Nepal, data from the last three demographic and health surveys show a rise in the contribution of neonatal deaths to infant and child mortality. The Government of Nepal has implem...ented community-based programs that were piloted and then scaled up based on lessons learned. These programs include, but are not limited to ensuring safe motherhood, birth preparedness package, community-based newborn care package, and integrated management of childhood illnesses. Despite the implementation of such programs on a larger scale, their effective coverage is yet to be achieved. Health system challenges included an inadequate policy environment, funding gaps, inadequate procurement, and insufficient supplies of commodities, while human resource management has been found to be impeding service delivery. Such bottlenecks at policy, institutional and service delivery level need to be addressed incorporating health information in decision-making as well as working in partnership with communities to facilitate the utilization of available services.
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Interactive Map
You’ve probably noticed that the map has been evolving along with the virus. Now, it sports new layers of data—including a close-up section on the US, with details on testing, hospitalizations, and country-level demographic data.
The map provides “more nuance on what’s h...appening to support decision-making.
For example, the new details can help prepare hospitals to better anticipate staffing and resource shortages
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