https://doi.org/10.1371/journal.pntd.0002439
South Sudan has a high burden – among the highest in sub-Saharan Africa – of neglected tropical diseases (NTDs). This adversely affects the health and social and economic well-being of people in the country. The prevention, control and eventual elim...ination of many NTDs depend heavily on improved access to water, sanitation and hygiene (WASH) and, once there is access, on sound sanitation and hygiene practices. This is especially the case in NTD endemic communities.
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Development assistance for health (DAH) is an important part of financing healthcare in low- and middle-income countries. We estimated the gross disbursement of DAH of the 29 Development Assistance Committee (DAC) member countries of the Organisation for Economic Co-operation and Development (OECD) ...for 2011–2019; and clarified its flows, including aid type,
channel, target region, and target health focus area. Data from the OECD iLibrary were used. The DAH definition was based on the OECD sector classification. For core funding to non-healthspecific multilateral agencies, we estimated DAH and its flows based on the OECD methodology for
calculating imputed multilateral official development assistance (ODA).
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Around the world, more than 2 billion people lack access to safely managed water, sanitation and hygiene services, with conflicts and climate change exacerbating the issue.
Unsafe and insufficient WASH facilities, especially in rural and remote areas, can lead to increased health complications fo...r older people, persons with disabilities and children. They also reinforce cycles of poverty, inequality and deprivation – particularly for women, children and marginalized groups, who are disproportionately impacted by a lack of equitable access to water and sanitation.
Launched on World Water Day, the guidelines address the knowledge gap on ways to practically implement inclusive approaches to WASH infrastructure development, particularly in developing countries and fragile contexts.
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Cochrane Database of Systematic Reviews 2015, Issue 2. Art. No.: CD011386. DOI: 10.1002/14651858.CD011386.pub2
Free access from the website http://onlinelibrary.wiley.com/enhanced/doi/10.1002/14651858.CD011386.pub2
Watch a short film which accompanies this Cochrane Review and talks about applying ...the findings in relevant clinical settings at http://www.cochrane.org/news/new-evidence-helps-health-workers-fight-against-ebola
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Bulletin of the World Health Organization; http://dx.doi.org/10.2471/BLT.16.176677
Glob Health Sci Pract; March 24, 2017, Vol. 5, No. 1, pp. 44-56
Guidelines for Therapy and Management of Urothelial Urinary Bladder Cancer
Guidelines for Therapy and Management of Renal Malignant Tumour in Indonesia
Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 23, No. 11, November 2017
International Journal of Infectious Diseases 32 (2015) 111–117
PLOS ONE 10(12): e0144040. doi:10.1371/journal.pone.0144040
Research Article
BMC Infectious Diseases 2012, 12:262; doi:10.1186/1471-2334-12-262
South Eastern European Journal of Public Health, EEJPH 2016, posted: 11 January 2016. DOI 10.4119/UNIBI/SEEJPH-2016-85
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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Curricular Modules for Lecturers and Teachers.
The 2nd edition of the Global Public Health Curriculum has been published in the South Eastern European Journal of Public Health, end of 2016 as a special volume . The curriculum targets the postgraduate education and training of public health professi...onals including their continued professional development (CPD). However, specific competences for the curricular modules remained to be identified in a more systematic approach
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Arq Neuropsiquiatr 2011;69(2-B):342-348
PLoS Med 15(7): e1002615. https://doi.org/10.1371/journal. pmed.1002615