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1
Noncommunicable diseases (NCDs) are the principal cause of morbidity, disability and premature mortality in Azerbaijan. The most effective way to reduce the NCD burden is to prevent NCD development, by addressing thebehavioural risk factors underlying NCDs at the population and individual leve
...
ls: smoking, alcohol use, excessive salt intake, low physical activity, overweight and obesity, and unhealthy diets. In Azerbaijan, a national survey of the prevalence of major NCD risk factors, aligned with the WHO-endorsed STEPwise approach to surveillance (STEPS) methodology, was conducted in 2017.
more
Tanzania Demographic and Health Survey
National Bureau of Statistics
inistry of Health and Social Welfare (MoHSW), Tanzania Food and Nutrition Centre (TFNC), et al.
(2011)
C1
Malawi Demographic and Health Survey 2015-2016
recommended
The DHS report itself explains the purpose was, “to obtain and provide information on basic indicators of social progress including fertility, childhood mortality, reproductive and child health, nutritional status of children, and awareness of HIV/AIDS and other health-related issues” in PNG. Th
...
is is important because a DHS then provides the evidence base for PNG officials themselves to track progress in PNG over time, compare trends with other comparable countries, and then allocate financial and human resources to where they are needed most.
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The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) t
...
o collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Kigali City
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The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) t
...
o collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Eastern Province.
more
he National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to
...
collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Northern Province.
more
The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) t
...
o collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Southern province
more
The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwan
...
da towards achieving its aspirations of being high middle income country by 2035 and high income country by 2050.
The primary objectives of this study were to assess Rwanda’s prospects for harnessing the demographic dividend and demonstrate priority policy and programme options that the country should adopt in order to optimise its chances of earning a maximum demographic dividend in the context of its youthful population and medium, long-term socio-economic development aspirations.
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The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals
...
(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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