Study Report August 2014
Curatio International Foundation (CIF) and the Association Tanadgoma would like to acknowledge the financial support provided by GFATM under the project “Establishment of evidence base for national HIV/AIDS program by strengthening of HIV/AIDS surveillance system in t...he country” (GEO-H-GPIC), which made this study possible.
The report was prepared by Dr. Ivdity Chikovani, Dr. Natia Shengelia, Lela Sulaberidze (CIF) and Nino Tsereteli (Tanadgoma).
Special thanks are extended to international consultants – Ali Mirzazadeh (MD, MPH, PhD Postdoctoral Scholar, University of California, San Francisco Institute for Health Policy Studies & Global Health Sciences) for his significant contribution in study preparation, protocol and questionnaire design and data analysis and Abu S. Abdul-Quader (PhD, Epidemiologist, Global AIDS Program Centers for Disease Control and Prevention) for his valuable input in refining methodology and overall guidance during the study implementation.
Special thanks are extended to international consultants – Abu S. Abdul-Quader (PhD, Epidemiologist, Global AIDS Program, Centers for Disease Control and Prevention) for his valuable input in refining methodology and overall guidance during the study implementation and Ali Mirzazadeh (MD, MPH, PhD Postdoctoral Scholar, University of California, San Francisco Institute for Health Policy Studies & Global Health Sciences) for his significant contribution in the NSU study preparation, protocol and questionnaire design and data analysis.
Authors appreciate a highly professional work of Tanadgoma staff: the survey coordinator KhatunaKhazhomia; the interviewers: Ketevan Tchelidze, Nino Kipiani, Koba Bitsadze, Kakhaber Akhvlediani, ZazaBabunashvili, Rati Tsintsadze and the social workers: Archil Rekhviashvili, Tea Chakhrakia, Irina Bregvadze, Kakhaber Kepuladze, Ketevan Jibladze and Shota Makharadze for their input in the recruitment process.
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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 (2013 RMIS) was to provide up-to date information on th...e 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 RDHS 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 data gaps, enhan...cing 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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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 decompose the contributions of women’s characterist...ics and their effects.
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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).
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 ...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.
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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 situation in Rwanda. The 2014-15 RDHS is the fifth Demogra...phic 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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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. 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 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 ill...ustrates the profile of Southern 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 programs and policies in Rwanda. This publication ill...ustrates the profile of Kigali City
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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 programs and policies in Rwanda. This publication illu...strates 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 programs and policies in Rwanda. This publication ill...ustrates the profile of Eastern Province.
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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...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 Case Study explores flood forecasting systems from the perspective of its position within the flood warning process. A method for classifying the different approaches taken in flood forecasting is introduced before the elements of a present-day flood forecasting system are discussed in detail. ...Finally, the state of the art in developing flood forecasting systems is addressed including how to deal with specific challenges posed.
The target group of this case study are decision makers in disaster risk management and/or water management. The case study should help to understand some hydrologic basics of the flood forecast and assist in the administration and implementation of an appropriate flood warning system in a specific environment, to find the best solution for a region.
Best solutions depend mainly on quality and availability of data, the areas and/or points of interest, catchment properties, cross border catchments, and financial capabilities with special consideration of flood forecast.
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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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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 climate.
The Virtual cGMP Training Marathon for Vaccine Manufacturing: Principles into Practice took place from 12 Sep to 10 Oct 2023 to continue to provide manufacturers & regulators with a comprehensive array of topics to build understanding of current WHO & international GMP standards, technological advan...cements, industry practices and regulatory expectations specific to the vaccine manufacturing context. Some of the topics include computer system validation, data integrity, challenges in lyophilization and others. Real world examples and case studies will be used to show how to interpret current and recently new good manufacturing practices requirements from a practical point of view and to implement appropriate approaches.
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Expert international faculty present weekly, concise MedicalMinute updates, host biweekly Question and Answer Webinars, and author a continually updated downloadable slideset including the latest data on COVID-19 epidemiology and clinical management; specific topics include best practices and ongoin...g research in screening, prevention, diagnosis, disease management, and treatment for diverse patient populations.
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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.