Demographic Health Survey Working Paper 2017 No. 130
Further Analysis of the 2014 Cambodia Demographic and Health Survey | DHS Further Analysis Reports No. 105
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 2011 Nepal Demographic and Health Survey
2015-16 Demographic and Health Survey and Malaria Indicator Survey
Annual Household Survey 2015/16 is the forth survey of its kind. These annual surveys are conducted to provide estimations of some major socio-economic indicators on annual basis which would not be possible with other periodic surveys like Nepal Labour Force Surveys (NLSS) and Nepal Living Standard ...Surveys (NLSS) which are undertaken at longer intervals. The survey basically aims to provide estimates of consumption by sex, urban-rural area and by consumption quintiles/deciles. Although the major thrust of Annual Household Survey is on consumption and employment situations, other sectors like education, housing and housing facilities and demographic characteristics are also included. As this year NLSS survey is conducted so, this survey does not contain information on employment situation as in previous annual household surveys.
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The Fifth Integrated Household Living Survey (EICV5) was conducted from October 2016 to October 2017, and is designed to provide accurate and up-to-date information that are useful to government, analysts and the public as they seek to monitor and evaluate efforts to reduce poverty.
This report pre...sents and discusses key results from the EICV5 in the areas of demographic characteristics, migration, health, education, the characteristics of households and dwellings in Rwanda, economic activity patterns, environmental issues and households' access to credits and savings.
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DEMOGRAPHIC RESEARCH, VOLUME 36, ARTICLE 37, PAGES 1081-1108; PUBLISHED 5 APRIL 2017; http://www.demographic-research.org/Volumes/Vol36/37/; DOI: 10.4054/DemRes.2017.36.37
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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Info-graphic on Fast Facts from the 2014-15 Rwanda Demographic and Health Survey.
Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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Accessed Online June 2018 | Single-page summary highlighting trends in modern contraceptive prevalence in Rwanda using data from the Demographic & Health Surveys.
Cet atlas présente des résultats régionaux de la cinquième phase de l’Enquête Continue (Enquête Continue 2017) qui a été exécutée d’avril à décembre 2017 par l’Agence Nationale de la Statistique et de la Démographie (ANSD), le Ministère de la Santé et de l’Action Sociale (MSAS...) et la Cellule de Lutte contre la Malnutrition. L’Enquête Continue 2017 a été réalisée avec l’appui financier du Gouvernement du Sénégal, de l’Agence des États-Unis pour le Développement International (USAID), de l’UNICEF (United Nations Children Fund), de l’UNFPA (United Nations Population Fund) de Nutrition International, et de la Banque Mondiale. Elle a bénéficié de l’assistance technique de The Demographic and Health Surveys Program (DHS Program) de ICF dont l’objectif est de collecter, d’analyser et de diffuser des données démographiques et de santé.
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Ce rapport présente les principaux résultats de la cinquième phase de l’Enquête Continue 2017, qui a été exécutée d’avril à décembre 2017 par l’Agence Nationale de la Statistique et de la Démographie (ANSD), le Ministère de la Santé et de l’Action Sociale (MSAS) et la Cellule de... Lutte contre la Malnutrition.
Le Sénégal est le premier pays en Afrique à réaliser une enquête continue par le biais de The Demographic and Health Surveys Program. L’Enquête Continue collecte des données chaque année pour atteindre deux objectifs :
•Répondre aux besoins permanents en données pour planifier, suivre et évaluer les programmes de santé et de population.
•Renforcer les capacités des institutions du Sénégal dans le domaine de la collecte et de l’utilisation des données.
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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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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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Demographic and epidemiological transitions are changing the age structure of the population and the most common diseases. Non-communicable respiratory diseases are an increasing problem at both ends of the age range in low-income and middle-income countries. In children, who represent a large propo...rtion of the total population, the increasing problem of asthma is a strain on health services. Improved survival of the older population is increasing the proportion of morbidity and mortality attributable to chronic lung diseases. Health services in low-resource countries are poorly adapted to treating chronic diseases. Designed to respond episodically to acute disease, almost all historical investment has focused on infectious diseases. Crucial to the successful management of chronic diseases is an infrastructure designed to support pro-active management, providing not only an accurate diagnosis, but also a secure supply of cost effective drugs at an affordable price. The absence of such an infrastructure in many countries and the market failure that makes drugs generally more expensive in low-resource regions means that many people with chronic non-communicable lung diseases are not given effective treatment. This has damaging economic consequences. The common causes of poor lung health in lowincome countries are not the same as those in richer countries, and there is a need to study why they are so common and how best to manage them.
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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