Practical Guideline for collaborative interventions
Lack of Access to Reproductive Healthcare in Sudan’s Rebel-Held Southern Kordofan
Meeting Report
Bangkok, Thailand 8-11 August 2016
ICAAP12 Secretariat
Partners in population and development, Dhaka, Bangladesh June 2016
A Toolkit for Implementation. Module 2: Facilitator’s guide to the orientation workshop on the IFC framework;
The five thematic discussion papers in this collection were prepared by members of the Global Prevention Coalition Steering Group and other experts from various institutions and countries. Contributors are listed in alphabetical order. The five papers are meant to inform country consultations and th...e development of a Global HIV Prevention Roadmap. They do not reflect the views of UNAIDS or any other agency or organization.
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A guide to increasing coverage and equity in all communities in the African Region
Expanded Programs on Immunization (EPI) is responsible for vaccines and vaccination to control, eliminate and eradicate vaccine preventable diseases (VPDs). Having strong immunization systems to deliver vaccines ...to those who need them most will play a significant role in achieving the health, equity and economic objectives of several global development goals.
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Policy and Legal Opportunities for HIV Testing Services and Civil Society Engagement
The objective of the evaluation is to understand whether the CHW program has achieved its intended objectives, thus contributing to the overarching objectives defined in the HSSP III of improving the health status of the population by “Ensuring universal accessibility of quality health services fo...r all Rwandans”.
This evaluation has focused on CHWs, who are selected, trained and deployed by the MoH to deliver a defined set of tasks at community level. CHWs are the central element of the Community Health Policy and of the community health strategy plan (CHSP) of the MoH.
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World Health Organization Department of Reproductive Health and Research
Brocher Foundation, Hermance, Geneva, Switzerland, 27–29 April 2016
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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