An Examination of 13 Projects in PEPFAR-Supported Countries
As detailed in MSF’s report Confronting the mental health emergency on Samos and Lesbos, the scale of the needs for mental healthcare and the severity of patients’ conditions have overwhelmed the capacity of mental health services on the islands.
Germany has become a visible actor in global health in the past 10 years. In this Series paper, we describe how this development complements a broad change in perspective in German foreign policy.
Civil Society Organisations’ contribution towards community engagement to access and demand health services and encourage communities to practice appropriate health-seeking behaviour in Mon and Chin States
The following report is a study of 14 villages under the Collective Voices project (Nov...ember 2015-December 2017) in the states of Mon and Chin. The objectives of the study were:
(1) to explore Village Health Committee (VHC) members, Basic Health Staff (BHS), and community members’ perceptions on community engagement in seeking and demanding health care and
(2) to describe health-seeking behaviours relating to Maternal, Newborn, and Child Health and hygiene practices among target beneficiaries.
more
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.
more
Democratic dispensation in 1994 created a political and social platform that reshaped life in South Africa. There was a surge in common belief that the inequity and wrong of Apartheid should and could be rectified. Equity of access to water and sanitation were obvious targets for improvement. In 199...4, an estimated 14–15 million South Africans were without access to an improved water supply, while close to 21 million - more than half of the population at that time - did not have access to improved sanitation facilities. These problems were most severe in poorer rural areas. The water and sanitation sector became unified by the vision of universal access for all South Africans. This case study documents the progression of the sector between 1994 and 2016, and analyzes the impact of local systems created in South Africa to respond to the water and sanitation challenge.
more
no cover page / publication year available
The process to develop this "National Traditional Medicine Policy" included a detailed situational analysis of traditional medicine in Liberia and a desk review of relevant documents and the regional policy framework on the alignment of WAHO countries ...policy harmonization.
more
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.
more
The study on refugee economies shows that refugees and former refugees are contributing positively to Zambia’s economy in various ways and have the potential to contribute even further if legal and other obstacles are removed.
The study targeted mainly Congolese, Burundian, Somali, and Rwandan re...fugees as well as former refugees from Rwanda and Angola in urban areas and the two rural refugee settlements, Mayukwayukwa (Kaoma District/Western Province) and Meheba (Kaulumbila District/North-Western Province).
more
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...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.
more
Health Policy Plan (2017) 32 (5): 603-612; 10 pp. 318 kB