A policy brief highlighting key factors associated with adolescent pregnancy. Adolescent pregnancy undermines girls’ human rights and reduces opportunities to realize their full potential.
Demographic Health Survey Working Paper 2017 No. 130
DEMOGRAPHIC AND HEALTH SURVEYS DHS WORKING PAPERS 2015 No. 117
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 81
Further analysis of the 2011 Nepal Demographic and Health Survey
Further analysis of the 2011 Nepal Demographic and Health Survey
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
Further analysis of the Nepal Demographic and Health Surveys, 2001-2011
Further analysis of the 2011 Nepal Demographic and Health Survey
March 2018, Vol. 108, (3 Suppl 1)
The transformation of the humanitarian landscape has already made a significant impact on the operational security of INGOs and other humanitarian actors. This report serves to inform strategic policy priorities and approaches to security planning and coordination, and addresses three main questions...: 1. What are the emerging trends, developments and drivers of change that are likely to affect or change security issues and considerations in the humanitarian environment of the future? 2. How will the humanitarian sector need to adapt in order to continue to deliver programmes within this changing operational context? 3. How prepared are organisations for this future, and what might they need to do differently in order to be prepared?
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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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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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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).
Research Article
Karo et al. BMC Infectious Diseases 2014, 14:148 http://www.biomedcentral.com/1471-2334/14/148
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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