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Publication Years
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Asia is home to more than half of the world’s 1.1 billion girls. Gender inequality in many parts of the region means that girls are often systematically disadvantaged and oppressed by poverty, violence, exclusion and discrimination. Girls’ development is hampered by child, early and forced marri
...
age and high adolescent pregnancy rates. Across the region, genderbased violence against girls and women constitutes a serious and widespread rights violation, particularly with regard to domestic violence, marital rape, and trafficking in women and girls.
Emerging data shows that since the outbreak of COVID-19, violence against girls and women, particularly domestic violence, has intensified
more
Testimonies from Humanitarian Workers with Disabilities.
By reading the first-hand accounts, we hear how persons with disabilities, not through any particular talent or skill but from unique knowledge gained through life experience, are ideally placed to provide insights, ideas and leadership, to s
...
upply essential data, and to fill the gaps in humanitarian response that cause this exclusion.
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CO2 emissions
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Carbon dioxide emissions are the primary driver of global climate change. It’s widely recognised that to avoid the worst impacts of climate change, the world needs to urgently reduce emissions. But, how this responsibility is shared between regions, countries, and individuals has been an endless p
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oint of contention in international discussions.
This debate arises from the various ways in which emissions are compared: as annual emissions by country; emissions per person; historical contributions; and whether they adjust for traded goods and services. These metrics can tell very different stories.
We teamed up with the YouTube channel, Kurzgesagt, to produce a video which explored these different metrics in detail: ‘Who is responsible for climate change? – Who needs to fix it?’. All of the data and research featured in this video is contained in this article: below we look in detail at the many ways emissions are broken down.
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In the last three decades, health financialization has surged in
several creative ways, yet this growing phenomenon remains surprisingly
unknown, and neglected, in the global health arena. Financialization in the
health domain could be described as the uncontrolled expansion of finance along vari
...
ous lines of healthcare provision. Health has been intentionally transformed into a commodity as private for-profit actors have been allowed freedom to operate - and ultimately play with people’s fundamental right to health - for their vested financial interests, nationally and internationally. Health financialization is thrivingly pursued today for example through the institutionalization of medical knowledge monopolies, the expansion of markets and of financial techniques applied to healthcare insurance schemes, the soaring digitalization of global health interventions and the booming data industry.
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The 2013 RMIS is a nationally representative, household-based survey that provides data on malaria indicators, which are used to assess the progress of a malaria control program. The primary objective of the 2013 Rwanda Malaria Indicator Survey (201
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3 RMIS) was to provide up-to date information on the prevention of malaria to policymakers, planners, and researchers.
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This report summarizes the findings of the 2010 Rwanda Demographic and Health Survey (RDHS). The 2010 Rwanda Demographic and Health Survey (RDHS) was designed to provide data for monitoring the population and health situation in Rwanda. The 2010 RDH
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S is the fifth Demographic and Health Survey to be conducted in Rwanda (DHS in 1992, 2000, and 2005 and Interim DHS in 2007-08). The objective of the survey was to provide up-to-date information on fertility, family planning, childhood mortality, nutrition including anemia testing, maternal and child health, domestic violence, malaria including malaria testing, maternal mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections, and HIV prevalence.
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Migrants in Central Asia and the Russian Federation, have been among the most severely impacted by the COVID-19 pandemic.
In the short term, IOM aims at providing support to migrants who are stranded in countries of destination. In addition, IOM will focus its efforts on addressing
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data gaps, enhancing national and community preparedness, response and recovery efforts, ensuring that affected people have access to basic services, commodities and protection as well as mitigating the socioeconomic impact of COVID-19.
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Trends in Neonatal Mortality in Rwanda, 2000-2010
Winter, Rebecca, Thomas Pullum, Anne Langston, Ndicunguye V. Mivumbi, Pierre C. Rutayisire, Dieudonne N. Muhoza, and Solange Hakiba
Calverton, Maryland, USA: ICF International.
(2013)
C2
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).
Measuring the Success of Family Planning Initiatives in Rwanda: A Multivariate Decomposition Analysis.
uhoza, Dieudonné Ndaruhuye, Pierre Claver Rutayisire, and Aline Umubyeyi.
Calverton, Maryland, USA: ICF International
(2013)
C2
DHS Working Papers No. 94 - This study described the family planning initiatives in Rwanda and analyzed the 2005 and 2010 RDHS data to identify factors that contribute to the increase in contraceptive use. The Blinder-Oaxaca technique was used to de
...
compose the contributions of women’s characteristics and their effects.
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Recent Trends in HIV-Related Knowledge and Behaviors in Rwanda, 2005-2010: Further Analysis of the Demographic and Health Surveys.
Hong, Rathavuth, Jean de Dieu, Jeanine Umutesi Condo, Muhayimpundu Ribakare, and Egidie Murekatete
Calverton, Maryland, USA: ICF International
(2013)
C2
DHS Further Analysis Reports No. 89 - The 2010 Rwanda Demographic and Health Survey shows that 3 percent of Rwandan adults age 15-49 have been infected with HIV. The prevalence was much higher in urban areas, among women, and among adults who had multiple lifetime sexual partners and used a condom a
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t last sexual intercourse. The
level of and differences in HIV prevalence in Rwanda in 2010 are very similar to those observed in 2005. Using data from the two recent Rwanda Demographic and Health Surveys, implemented in 2005 and
2010, this study examined changes in key HIV-related knowledge, attitudes, and sexual behavior indicators. Significant changes in selected indicators during 2005 and 2010 were determined by Student ttest with p-values less than 0.05.
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This report provides an overview of the Key findings of the Rwanda 2014-2015 Demographic and Health Survey (RDHS). The 2014-15 Rwanda Demographic and Health Survey (RDHS) was designed to provide data for monitoring the population and health situati
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on in Rwanda. The 2014-15 RDHS is the fifth Demographic and Health Survey
conducted in Rwanda since 1992. The objective of the survey was to provide reliable estimates of fertility levels, marriage, sexual activity, fertility preferences, family planning methods, breastfeeding practices, nutrition, childhood and maternal mortality, maternal and child health, early childhood development, malaria, domestic violence, and HIV/AIDS and other sexually transmitted infections (STIs) that can be used by program managers and policymakers to evaluate and improve existing programs.
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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) to collect data for monitoring progress on health pr
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ograms 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) to collect data for monitoring progress on health pr
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ograms and policies in Rwanda. This publication illustrates the profile of Eastern Province.
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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 pro
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grams and policies in Rwanda. This publication illustrates the profile of Northern Province.
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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) to collect data for monitoring progress on health pr
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ograms and policies in Rwanda. This publication illustrates the profile of Southern province
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In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules.
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Data collection began on 23rd September 2014 and concluded on 17th October 2014, in all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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The report showed commitments made three decades ago to protect the rights of children remain unfulfilled for millions. Violence still affects countless children. Discrimination based on age, gender, disability, sexual orientation and religion harms children worldwide.
Key factors include a lack
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of investment in critically important services. Most countries fall well short of spending the 5-6% of GDP needed to ensure universal coverage of essential health care. And foreign aid, which many lower income countries rely on, is falling short in areas such as health, education, protection and child care.
Another factor, the report said, is the lack of quality data. Governments tend to rely on data that reflects national averages, making it difficult to identify the needs of specific children and to monitor progress. Comprehensive data collection and disaggregation of data by gender, age, disability and locality, are increasingly important as rights violations disproportionately affect disadvantaged children.
more
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
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(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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The 2019 edition treating data for 2018 marks sustained international efforts dedicated to reporting on, analysing and understanding the year-to-year variations and long-term trends of a changing cl
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imate.
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The OECD carries out work on health data and indicators to improve international comparisons and economic analyses of health systems.
Accessed 26 February 2019.
