India is experiencing rapid demographic and epidemiological transitions with NCDs causing significant disability, morbidity and mortality both in urban and rural populations and across all socioeconomic strata. According to the ICMR State Level Disease Burden Initiative, in 2016, NCDs accounted to a...n estimated 6.0 million deaths, constituting 62% of the total mortality of that year.
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With the health and demographic trends that characterise the 21st century, health systems face new challenges; people are living longer and with higher levels of disability. Strengthening health systems to provide rehabilitation services helps ensure people not only live longer but live well.
According to the 2016 Nepal Demographic and Health Survey, 66% of Nepali households use mainly solid fuel for cooking on inefficient stoves. Incomplete fuel combustion of solid fuels emits greenhouse gases and harmful smoke, contributing to climate change, forest degradation, ill health and preventa...ble deaths. Further, the physical burden and time necessary to collect wood for fuel is borne primarily by women and children, thus compromising their productive time, such as social activities and education.
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As the Americas undergo profound demographic change and there are more persons aged 65 years or older than children younger than 5 years, it is crucial to recognize that national immunization programs must be redesigned to ensure comprehensive protection for individuals across the lifespan. By adopt...ing a life course approach (LCA) to immunization, vaccination programs can be tailored to close immunity gaps at different stages of life. The life course approach foresees the establishment of multiple strategies to reduce missed opportunities for vaccination according to age group. This technical document explains the key concepts of the LCA with a focus on immunization by vaccination, as well as the underlying biological mechanisms that require the application different vaccines at different life stages according to changes to the immune system and in the epidemiological situation of a community.
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The Knowledge Centre on Migration and Demography (KCMD) Data Catalogue is a table of data sources relevant to Migration and Demography policies. Each data source is listed with its summary description, the link to its web site and other metadata. The catalogue will include official EU and internatio...nal statistics, as well as important data sets at Member State level.
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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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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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According to the National Institute of Statistics and Demography (NSID) 168,094 persons out of Burkina Faso’s 14,017,262 inhabitants are living with a physical, sensory or mental disability. The numbers are questioned as the effort to collect in-depth statistics has not been great. Furthermore, mu...ch of the statistics is only collected in more densely populated provinces and towns and not in smaller rural communities. Handicap International (HI) estimates that the number is as high as 7 per cent.
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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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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 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 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 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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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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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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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 Wealth | Early Childhood Development
We investigate whether and to what extent Chinese development finance affects infant mortality, combining 92 demographic and health surveys (DHS) for a maximum of 53 countries and almost 55,000 sub-national locations over the 2002-2014 period. We address causality by instrumenting aid with a set of ...interacted variables. Variation over
time results from indicators that measure the availability of funding in a given year. Cross-sectional variation results from a sub-national region’s “probability to receive aid.” Controlled for this probability in tandem with fixed effects for country-years and provinces, the interactions of these variables form powerful and excludable instruments. Our results show that Chinese aid increases infant mortality at sub-national scales, but decreases mortality at the countrylevel. In several tests, we show that this stark contrast likely results from aid being fungible within recipient countries.
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The prevalence of chronic non-communicable diseases such as diabetes, cardiovascular diseases and cancers has been on the increase in Kenya in the recent past. This has been occasioned by changes in social and demographic situation in the country. The life expectancy... in the country is improving, while the country is developing at a rapid pace. This has resulted in people living more years and at the time adopting lifestyles that have negative impacts on their health. This increase in diabetes and other non-communicable diseases has given rise to a double burden of communicable and non-communicable diseases in Kenya
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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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It is estimated that more than 311 000 women die of cervical
cancer each year. Of these deaths, 91% occur in low- and
middle-income countries. Demographic changes and a lack of
action mean that the number of deaths per year is projected
to reach 460 000 by 2040.