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Unfortunately, current data available on SDG financing are not sufficient to quantify the distribution of financing for the SDGs.
AidData’s methodology for measuring financing to the SDGs attempts to fill this gap by analyzing development project
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documentation to estimate project-level contributions to the SDGs (and their associated targets). This methodology lets us see where development financing is targeted, allowing comparisons among SDG goals and individual SDG targets.
This methodology note describes two iterations of AidData’s methodology. The first, based on a crosswalk with existing aid reporting schemes, was employed for AidData’s 2017 flagship report Realizing Agenda 2030: Will donor dollars and country priorities align with global goals? and our brief Financing the SDGs in Colombia. The second iteration of the methodology employs a direct coding scheme, linking development projects directly to the SDGs through analysis and coding of project descriptions rather than through an intermediary classification system. This method was employed for our 2019 brief Financing the SDGs: Evidence in Four Countries.
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The World Health Organization's Global Health Observatory (GHO) provides comprehensive data on noncommunicable diseases (NCDs), including cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes. The portal offers country-specifi
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c statistics on NCD mortality rates, risk factors, and national responses, facilitating analysis and comparison across regions. It also includes resources such as publications and tools to support global efforts in NCD prevention and control.
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This document presents the findings of the National Census of Persons with Disabilities in Rwanda. The preliminary result of this census has been used to produce a summary analysis of tables and figures. It shall be possible to derive basic socio-de
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mographic indicators as well as to obtain the estimate of persons with disability in Rwanda, all of which shall serve as a reference to the categorization activity planned to be done in the near future by a medical committee from the Ministry of Health. The data of this report relate to (1) Persons with disability size for various administrative units (Districts and Provinces), (2) Distribution of Persons with disabilities by sex, age, marital status and type of disabilities.
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During Epidemiological week (Epiweek) 5, 20 countries in the WHO African region (WHO AFR) contributed virological data for analysis - Algeria, Burkina Faso, Cameroon, Central African Republic, Côte
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d’Ivoire, Democratic Republic of the Congo, Ethiopia, Ghana, Madagascar, Mali, Mauritania, Mozambique, Niger, Nigeria, Rwanda, South Africa, South Sudan, Togo, Uganda, and Zambia
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DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant ec ... onomic change in India. The main predictor is a new measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level. more
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant ec ... onomic change in India. The main predictor is a new measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level. more
The Ministry of Health conducted STEPS surveys on adult risk factors surveillance in Myanmar in 2003, 2009 and 2014. Amongst these three surveys, the 2014 one is the most comprehensive, providing an analysis of all States and Regions within Myanmar
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through not only questionnaires and physical measurements – STEPs 1 and 2 of the survey – but also with data obtained through biochemical measurements (STEP 3).
The STEPS survey was initiated by the Ministry of Health in December 2014 with the technical support of WHO Headquarters, regional and country offices. more
The STEPS survey was initiated by the Ministry of Health in December 2014 with the technical support of WHO Headquarters, regional and country offices. more
This companion to the ALNAP EHA Guide offers protection-specific insights for evaluators and evaluation commissioners across the humanitarian sector. It covers the planning, data management and analysis
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phases of evaluation and addresses a range of challenges that – whilst not all unique to protection – are often exacerbated by the contexts in which protection activities typically take place. Challenges addressed include those arising from the multi-faceted nature of protection activities, the difficulty understanding cause-effect relationships underlying protection risks, and the challenges of accessing and managing very sensitive data, sometimes drawn from communities in conflict.
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WRI develops practical solutions that improve people’s lives and ensure nature can thrive.
WRI have deep expertise in policy, research, data analysis, economics, political dynamics and more. WR
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I work with partners in more than 50 countries and currently have offices in 12 countries: Brazil, China, Colombia, Ethiopia, India, Indonesia, Kenya, Mexico, the Netherlands, Turkey, the United Kingdom and the United States.
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This comprehensive HPFM report thoroughly explores Kenya’s health financing landscape. It provides an in-depth analysis of the current state of affairs and sheds light on required strategic changes in health financing. The report points out the ne
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ed to improve public financial management within the health sector, for more efficient financial systems. It focuses on better resourceraising and utilization mechanisms. The matrix highlights the need for consolidation of fragmented health financing arrangements, for a more efficient health system. It also emphasizes the need for enhancing strategic purchasing of health services, to improve the overall efficiency and quality of care. Additionally, the report stresses the critical
role of leveraging data and information systems for more evidence-based informed decision-making. These recommendations are crucial for advancing Kenya’s health financing system and moving closer to the UHC goal.
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Afr J Tradit Complement Altern Med. (2016) 13(4):123-131
Out of 400 questionnaires distributed to the participants, 389 were returned with data acceptable for analysis. Ages of the participants ... ranged from 18 to 75 years (Mean=43 + 11.6). Out of the 272 (69.9%) participants who conceded that they had used medicinal herbs at least once, 30 (7.7%) participants used medicinal herbs frequently while 242 (62.2 %) rarely used the herbs. At least 20 plant species belonging to 16 families were reportedly used by the participants. Asteraceae was the most common plant family reportedly used by the participants. Allium sativum and Dicoma anomala, reportedly used by 21.0% and 14.3% respectively, were the most commonly used medicinal herbs in this population. In addition, boosting the immune system and treating gastrointestinal ailments, apparently cited by 32% and 28% participants respectively, were the most commonly reported reasons for using medicinal herbs.
http://dx.doi.org/10.21010/ajtcam.v13i4.17 more
Out of 400 questionnaires distributed to the participants, 389 were returned with data acceptable for analysis. Ages of the participants ... ranged from 18 to 75 years (Mean=43 + 11.6). Out of the 272 (69.9%) participants who conceded that they had used medicinal herbs at least once, 30 (7.7%) participants used medicinal herbs frequently while 242 (62.2 %) rarely used the herbs. At least 20 plant species belonging to 16 families were reportedly used by the participants. Asteraceae was the most common plant family reportedly used by the participants. Allium sativum and Dicoma anomala, reportedly used by 21.0% and 14.3% respectively, were the most commonly used medicinal herbs in this population. In addition, boosting the immune system and treating gastrointestinal ailments, apparently cited by 32% and 28% participants respectively, were the most commonly reported reasons for using medicinal herbs.
http://dx.doi.org/10.21010/ajtcam.v13i4.17 more
A user-friendly instrument designed to collect and calculate indicators of effective inventory management. The IMAT guides the user through a process of collecting data on the physical and theoretical stock balance and the duration of stockouts for
...
a set of up to 25 frequently-used products, calculating indicators, analyzing the results, and identifying strategies for improving record-keeping and stock management practices. The IMAT comes as a computerized spreadsheet in Excel and includes instructions, a data collection form, analysis guidelines, recommendations, and a graphical display of the indicator results.
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This series of 94 climate risk and adaptation profiles offers a common platform to guide access, synthesis, and analysis of relevant country data and information for Disaster Risk Reduction and Adap
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tation to Climate Change. The profiles are geared towards providing a quick reference source for development practitioners to better integrate climate resilience in development planning and operations. Users are able to evaluate climate-related vulnerability and risks by interpreting climate and climate-related data at multiple levels of detail. Sources on climate and climate related information are linked through the country profiles’ on-line platform, which is periodically updated to reflect the most recent publicly available climate analysis. The series is developed by the Global Facility for Disaster Reduction and Recovery (GFDRR), the Global Support Program of the Climate Investment Funds, and the Climate Change Team of the Environment Department of the World Bank and was made possible with the support of the Government of Luxemburg, the World Bank, and the Climate Investment Funds.
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Epi Info™ is a public domain suite of interoperable software tools designed for the global community of public health practitioners and researchers. It provides for easy data entry form and database construction, a customized
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data entry experience, and data analyses with epidemiologic statistics, maps, and graphs for public health professionals who may lack an information technology background. Epi Info™ is used for outbreak investigations; for developing small to mid-sized disease surveillance systems; as analysis, visualization, and reporting (AVR) components of larger systems; and in the continuing education in the science of epidemiology and public health analytic methods at schools of public health around the world.
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a ... data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a ... data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
Accessed Online June 2018 | When assessing potential opportunities for family planning, it is important to consider a wide range of areas related to demand for contraception, availability and access to services, quality and equity, and the enabling environment. This opportunity brief brings together
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a range of data sources to allow for exploration of these key areas. This brief is meant to provide an overview of key data and population segmentations to spark conversations about prioritization and potential impact. Further analysis, including additional segmentation by residence or region may reveal additional nuances.
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Tropical Medicine and Infectious Disease 2017, 2(4), 50
This is a cross-sectional analysis of baseline data in a longitudinal study on asymptomatic, LF antigen-positive and -negative young peop ... le in Myanmar. Rapid field screening was used to identify antigen-positive cases and a group of antigen-negative controls of similar age and gender were invited to continue in the study. ... Results demonstrate that sub-clinical changes associated with infection can be detected in asymptomatic cases. Further exploration of these low-cost devices in clinical and research settings on filariasis-related lymphedema are warranted.
https://doi.org/10.3390/tropicalmed2040050 more
This is a cross-sectional analysis of baseline data in a longitudinal study on asymptomatic, LF antigen-positive and -negative young peop ... le in Myanmar. Rapid field screening was used to identify antigen-positive cases and a group of antigen-negative controls of similar age and gender were invited to continue in the study. ... Results demonstrate that sub-clinical changes associated with infection can be detected in asymptomatic cases. Further exploration of these low-cost devices in clinical and research settings on filariasis-related lymphedema are warranted.
https://doi.org/10.3390/tropicalmed2040050 more
Census Report Volume 4-A
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2. ... 8 children per woman for rural areas. Total fertility for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2. ... 8 children per woman for rural areas. Total fertility for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
This report is a comprehensive statistical overview of female genital mutilation/cutting (FGM/C) in the 29 countries where the practice is concentrated. Analysis of the data reflects current perspec
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tives on FGM/C, informed by the latest policy, programmatic and theoretical evidence.
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This study provides information about vulnerabilities within the targeted population and contributes to reflection within UNHCR on how to interpret their multisectorial Home Visit assessments. By exploring relationships between vulnerability indicators and other
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data collected, the report outlines key trends and relationships. The report details predefined VAF indicators and then provides an in-depth descriptive analysis for each sector
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Journal of Biosocial Science / Volume 34 / Issue 04 / October 2002, pp 525 - 539
DOI: DOI:10.1017/S0021932002005254, Published online: 24 September 2002
This paper examines determinants of one aspect of sexual behaviour – coital frequency – among 2188 married women in the Central African Re
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public using a secondary analysis of data from the Demographic and Health Survey of 1994–95. Female genital cutting (or circumcision) is practised in the Central African Republic and self-reported circumcision status was included in the questionnaire enabling it to be examined as a possible determinant of coital frequency. Multiple logistic regression was used to find a subset of factors independently associated with coital frequency.
Decreased coital frequency was found in those who had longer duration of marriage, those who were not the most recent wife in a polygamous marriage and those who had more surviving children. Coital frequency was higher in more educated women and those not contracepting because they wanted to get pregnant. After adjusting for confounders no association between
female genital cutting and coital frequency was found. The extent to which women can control coital frequency in this culture is not known and fertility desires may override any negative effects of circumcision on sexual pleasure.
It was therefore not possible to draw conclusions about how female genital cutting affects a woman’s desire for sexual intercourse and consequently there is a need to develop research methods further to investigate this question.
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