Mémoire pour le Diplôme inter-universitaire Santé mentale dans la communauté»
Census Report Volume 4-F (Thematic report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050)
Key findings
- The total population of Myanmar is estimated to be 65 million by 2050. The projection is based on steadily declining population grow...th rate over the projection period: from 0.9 per cent in 2015 to 0.3 per cent in 2050.
- The proportion of the urban population rises from 29.3 per cent in 2015 to 34.7 in 2050. The rural and urban crude birth rates both decline between 2015 and 2050, but the difference between them narrows to almost zero by the end of the period.
- The population of Yangon grows more rapidly than any other area, by 39 per cent between 2015 and 2031. Other rapidly growing areas include Kayah (37 per cent), Kachin (32 per cent), Nay Pyi Taw (27 per cent), and Shan (26 per cent). Ayeyawady, Magway and Mon lose population, mostly due to migration.
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Census Report Volume 4-K
The results of the 2014 Census collected only relates to four of the six types of disability domains recommended by the Washington Group on Disability Statistics, namely: seeing, hearing, walking, and remembering or concentrating.
Out of a total of 50.3 million pe...rsons enumerated in the 2014 Census, there were 2.3 million persons (4.6 per cent of the total population) who reported some degree of difficulty with either one or more of the four functional domains. Of this number, over half a million (representing over 1 per cent of the population as a whole) reported having a lot of difficulty or could not do one or more of the four activities at all (referred to as severe disability). Among those with the severest degree of disability, 55 thousand were blind, 43 thousand were deaf, 99 thousand could not walk at all and 90 thousand did not have the capability to remember or concentrate.
The Census shows that disability is predominantly an old age phenomenon with its prevalence remaining low up to a certain age, after which rates increase substantially.
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R4D conducted a thorough desk review and qualitative fiscal space analysis, 19 interviews about financing for the three diseases and the extent of alignment between public financial management systems and health policy objectives, and a validation workshop with government officials.
Tanzania’...s disease response faces a triple transition challenge: replacing donor funding, closing the resource gap that would exist even with donor funding, and more efficiently delivering on disease response objectives.
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Lack of Access to Reproductive Healthcare in Sudan’s Rebel-Held Southern Kordofan
The purpose of this Emergency Response Framework (ERF) is to clarify WHO’s roles and responsibilities in this regard and to provide a common approach for its work in emergencies. Ultimately, the ERF requires WHO to act with urgency and predictability to best serve and be accountable to populations... affected by emergencies.
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Nationally, Senegal met the MDG target for water supply access. It did this by engaging the public and private sectors to effectively invest and report on investments. It focused on larger population centers, less on remote regions of the country. Its achievements set the stage for more equitable an...d widespread service provision as the country now works to achieve the SDGs, requiring sustainable management of universal access. This case study documents the progression of the sector between 1990 and 2015, and analyzes the impact of local systems created in Senegal to respond to the water and sanitation challenge.
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USAID/Afghanistan’s $443 million investment in the Afghan Sustainable Water Supply and Sanitation (SWSS) activity is one of the Agency’s largest single investments in sustainable rural water supply delivery. The project installed about 2,123 wells with hand pumps across Afghanistan from 2009–2...012. This report presents findings from a retrospective evaluation of a random selection of wells with hand pumps installed under the SWSS project.
This evaluation’s key purpose is to identify factors that support and hinder sustainable water service delivery in different contexts.
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WASH Ex-Post Evaluation Series - Water Communications and Knowledge Management (CKM) Project
This evaluation examines the sustainability of selected components of the USAID/Indonesia Environmental Services Program (ESP), which was implemented from 2004–2010. Among other objectives, this activ...ity sought to improve health and livelihoods of Indonesians through enhanced and expanded access to key environmental services.
Following up on the program seven years after it ended, this evaluation addresses the sustainability of ESP’s capacity-building efforts with Indonesian municipal water utilities, known as Perusahaan Daerah Air Minum (PDAM), and financial mechanisms to improve utility management and expanded water access in urban areas.
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This Technical Brief focuses on appraising and prioritising options for climate resilience with a view to informing water, sanitation and hygiene (WASH) programme and project design.
This Technical Brief:
- provides a simple scorecard/checklist approach to use as a starting point for appr...aising and prioritising options, and as an awareness-raising activity - covers all aspects of WASH
- has a predominantly rural focus, to align with the rest of the Strategic Framework and Technical Briefs
- focuses on current and near future options over the next 15–20 years, which fits in with WASH programming timescales and development
- includes WASH examples to show how the approach can be applied.
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This case study examines the humanitarian response to the conflict-related crisis in the North-East of Nigeria, focusing primarily on the period from 2015 to the end of 2016. The aim is test the central hypotheses of the Emergency Gap project: that the current structure, conceptual underpinning and... prevalent mindset of the international humanitarian system limits its capacity to be effective in response to conflict-related emergencies.
As with many conflict-related crises, the emergency in north-east Nigeria has deep and complex roots in the history of the region. The conflict began in 2009 and quickly developed beyond the control of the authorities. It unfolded in the midst of pre-existing political, social and economic tensions, making an effective humanitarian response exceedingly difficult. Despite this complexity, what is clear is that the crisis has resulted in a sprawling humanitarian disaster that has killed over 25,000 people as a direct result of the violence, and continues to devastate many more lives through hunger, psychological trauma and lack of access to healthcare.
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Globally, it is estimated that 128.6 million people are currently in need of humanitarian assistance. Of these individuals, approximately one-fourth are women and girls of reproductive age. Although family planning is one of the most life-saving, empowering, and cost-effective interventions for wome...n and girls, it remains an overwhelming gap in emergency responses due to a lack of prioritisation and funding. Consequently, many women and girls are forced to contend with an unmet need for family planning and unplanned pregnancies in addition to the traumas of conflict, disaster, and displacement.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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