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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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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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
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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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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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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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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The STEPS survey of noncommunicable disease (NCD) risk factors in Zambia was carried out from July to September 2017. Zambia carried out Step 1, Step 2 and Step 3. Socio demographic and behavioural information was collected in Step 1. Physical measurements such as height, weight and blood pressure w...ere collected in Step 2. Biochemical measurements were collected to assess blood glucose and cholesterol levels in Step 3. The survey was a population-based survey of adults aged 18-69. A multi-stage cluster sample design was used to produce representative data for that age range in Zambia. A total of 4,302 adults participated in the survey. The overall response rate was 74% for Step 1 and 2 and 65% for Step 3. A repeat survey is planned for 2022 if funds permit.
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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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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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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.
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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