Several diagnostic criteria of Post-traumatic Stress Disorder (PTSD) are remarkably similar to symptoms reported by individuals with depression, particularly as they manifest as cognitive processing deficits in children. Because of this overlap in profile
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and the high rate of comorbidity of PTSD and depression (48% to 69%), pinpointing similarities/differences in cognitive processes related to each of these disorders is essential to accurate diagnosis. This study aims to examine cognitive performance profiles of 23 children who have been victims of PTSD and to compare their results with 23 children with depression and 24 controls.
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In 2015, the National Institute of Statistics of Rwanda published the Rwanda Poverty Profile Report 2013/2014,which provided a detailed portrait of the extent and nature of poverty in the country, based on information collected by an integrated hous
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ehold living conditions survey (EICV4) undertaken between October 2013 and September 2014.
This report complements the study by looking at the trends in poverty between 2010/11 and 2013/14.It is essential to examine changes in poverty over time, because one of the most important goals of economic Sustainable Development Goals is to eliminate severe poverty by 2030.
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Includes a Special Report on the Financial and Personal Benefits of Early Diagnosis
2018 Alzheimer’s Disease Facts and Figures is a statistical resource for U.S. data related to Alzheimer’s disease,
the most common cause of dementia. Backgro
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und and context for interpretating the data are contained in
the Overview. Additional sections address prevalence, mortality and morbidity, caregiving and use and costs of health care and services. A Special Report discusses the financial and personal benefits of diagnosing earlier in the disease process, in the stage of mild cognitive impairment.
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The Trends and Developments report presents a top-level overview of the drug phenomenon in Europe, covering drug supply, use and public health problems as well as drug policy and responses. Together with the online Statistical Bulletin and 30 Countr
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y Drug Reports, it makes up the 2019 European Drug Report package.
Available in different languages: http://www.emcdda.europa.eu/publications/edr/trends-developments/2019_en
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The number of confirmed COVID-19 cases detected and reported in each country is influenced by
many factors including limited access and/or utilization of healthcare and COVID-19 testing, limited
surveillance, lack of knowledge amongst the population about when to seek testing, an asymptomatic pres
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entation, and other unknown issues. This is true in all countries of the world, and not Africa specific, however there are factors unique to Africa which may also affect the way the virus behaves there. COVID-19 prevalence data are critical for planning effective mitigation strategies and understandingthe true impact of the disease and relevant intervention measures in Africa, which might be quite different from regions with a different population age distribution or risk factor profile.
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This report complements the previous poverty analysis studies by presenting a series of poverty maps of Rwanda at cell and sector levels, based on data from EICV4 and the 2012 Population and Housing Census. A poverty map is simply a map that shows the incidence of poverty in different areas of the c
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ountry. It allows the viewer to appreciate, at a glance, the geographic dimensions of poverty. Apart from their intrinsic interest, poverty maps may be used to help guide the allocation of resources across local agencies or governmental units, in an effort to better target efforts to reach the poor by pinpointing the small areas of most need.
In 2015, the National Institute of Statistics of Rwanda (NISR) published the Rwanda Poverty Profile Report which provided a detailed portrait of the extent and nature of poverty in the country, while in 2016 a Poverty Trends Analysis Report which complements the Profile study by looking at the trends in poverty between 2010/11 and 2013/14 was also published. Both reports were based on information collected by an integrated household living conditions survey (EICV4) undertaken between October 2013 and September 2014.
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This third edition of the National Gender Statistics Report provides the updated sex-disaggregated data in twelve fields: Population and Youth; Education; Health and Nutrition; Economic Activity and time use; Poverty & Social Protection; Justice & Human rights; Environment and Natural Resources; Dec
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isionmaking and Public life; Infrastructure, ICT and Media; Trade and Business and Industry; Agriculture, Livestock and Forestry, and lastly the Income and Access to Finance. It should be noted that this report takes into account almost all quantitative indicators of the United Nations Minimum Set of Gender Indicators (UNMSGI) as developed by the United Nations Statistical Division (UNSD) and some of the approved quantitative SDGs gender related indicators.
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The ICF Practical Manual provides information on how to use ICF. Anyone interested in learning more about use of the International Classification of Functioning, Disability and Health (ICF, WHO 2001) may benefit from reading this Practical Manual. The ICF is presently used in many different contexts
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and for many different purposes around the world. It can be used as a tool for statistical, research, clinical, social policy, or educational purposes and applied, not only in the health sector, but also in sectors such as insurance, social security, labour, education, economics, policy or legislation development, and the environment. People interested in functioning and disability and seeking ways to apply the ICF should find the contents of this Practical Manual helpful. The Practical Manual provides a range of information on how to apply ICF in various situations. It is built on the acquired expertise, knowledge and judgement of users in their respective areas of work, and is designed to be used alongside the ICF itself, which remains the primary reference.
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PNAS | March 4, 2014 | vol. 111 | no. 9
Malaria is an important disease that has a global distribution and significant health burden. The spatial limits of its distribution and seasonal activity are sensitive to climate factors, as well as the local capacity to control the disease. Malaria is also
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one of the few health outcomes that has been modeled by more than one research group and can therefore facilitate the first model intercomparison for health impacts under a future with climate change. We used bias-corrected temperature and rainfall simulations from the Coupled Model Intercomparison Project Phase 5 climate models to compare the metrics of five statistical and dynamical malaria impact models for three future time periods (2030s, 2050s, and 2080s). We evaluated three malaria outcome metrics at global and regional levels: climate suitability, additional population at risk and additional person-months at risk across the model outputs. The malaria projections were based on five different global climate models, each run under four emission scenarios (Representative Concentration Pathways, RCPs) and a single population projection. We also investigated the modeling uncertainty associated with future projections of populations at risk for malaria owing to climate change. Our findings show an overall global net increase in climate suitability and a net increase in the population at risk, but with large uncertainties. The model outputs indicate a net increase in the annual person-months at risk when comparing from RCP2.6 to RCP8.5 from the 2050s to the 2080s. The malaria outcome metrics were highly sensitive to the choice of malaria impact model, especially over the epidemic fringes of the malaria distribution.
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Non-communicable diseases (NCDs) are the second common cause of death in sub-Saharan Africa (SSA) accounting for about 35% of all deaths, after a composite of communicable, maternal, neonatal, and nutritional diseases. Despite prior perception of low NCDs mortality rates, current evidence suggests t
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hat SSA is now at the dawn of the epidemiological transition with contemporary double burden of disease from NCDs and communicable diseases. In SSA, cardiovascular diseases (CVDs) are the most frequent causes of NCDs deaths, responsible for approximately 13% of all deaths and 37% of all NCDs deaths. Although ischemic heart disease (IHD) has been identified as the leading cause of CVDs mortality in SSA followed by stroke and hypertensive heart disease from statistical models, real field data suggest IHD rates are still relatively low. The neglected endemic CVDs of SSA such as endomyocardial fibrosis and rheumatic heart disease as well as congenital heart diseases remain unconquered. While the underlying aetiology of heart failure among adults in high-income countries (HIC) is IHD, in SSA the leading causes are hypertensive heart disease, cardiomyopathy, rheumatic heart disease, and congenital heart diseases. Of concern is the tendency of CVDs to occur at younger ages in SSA populations, approximately two decades earlier compared to HIC. Obstacles hampering primary and secondary prevention of CVDs in SSA include insufficient health care systems and infrastructure, scarcity of cardiac professionals, skewed budget allocation and disproportionate prioritization away from NCDs, high cost of cardiac treatments and interventions coupled with rarity of health insurance systems. This review gives an overview of the descriptive epidemiology of CVDs in SSA, while contrasting with the HIC and highlighting impediments to their management and making recommendations.
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Integrated HIV Behavioral and Serologic Surveillance
A Technical Paper. Final Report
Updated: 27 December 2013
Basic Indicators | Nutrition | Health | HIV/AIDS | Education | Demographic Indicators | Economic Indicators | Women | Child Protection | The Rate Of Progress | Adolescents | Disparities By Residence | Disparities By Household Wealth | Early Childhood Development
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
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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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