PLOS ONE | https://doi.org/10.1371/journal.pone.0186835 October 30, 2017
- Pacific Possible Background Paper No.6
Regional Action Plan for HIV in South-East Asia (2017-2021)
ecancer 11 755 / DOI: 10.3332/ecancer.2017.755
Policy Brief, Updated in March 2017
The WHO Toolkit for the care and support of people affected by complications associated with Zika virus has been developed to serve as a model guide, with the goal of enhancing country preparedness for Zika virus outbreaks. The toolkit is intended to provide a systems approach involving public heal...th planners and managers so that the necessary infrastructure and resources can be identified and incorporated as needed, as well as technical and practical guidance for health care professionals and community workers.
The toolkit includes three manuals to provide countries with tools to effectively recognize people affected by Zika virus and deliver comprehensive care and support:
Manual for public health planners and managers
Manual for health care professionals
Manual for community workers
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Demographic Health Survey Working Paper 2017 No. 130
2nd Generation HIV Surveillance in Pakistan, Round 5
This year marked the beginning of the WHO biennium 2016-2017 action plan; this annual report highlights WHO’s key achievements in 2016
It also documents the extraordinary efforts by a broad coalition of government ministries, municipalities, international agencies, community groups, women’s or...ganizations, religious and traditional leaders, media, private sector and donors towards restoration and improving health indicators.
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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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Phiri et al. Human Resources for Health (2017) 15:40
DOI 10.1186/s12960-017-0214-3
WHO REPORT ON THE GLOBAL TOBACCO EPIDEMIC, 2017