This Situation Update describes events occurring in Bilin Township, Thaton District during the period between July and October 2017, including healthcare, education, development projects and drug issues.
End TB.
Accessed in November 2017.
Supplement article
The Journal of Infectious Diseases® 2017;216(S7):S675–8
DOI: 10.1093/infdis/jix368
Finding the Missing Tuberculosis Patients • JID 2017:216 (Suppl 7) • S675
Downloaded from https://academic.oup.com/jid/article-abstract/216/suppl_7/S675/4595547
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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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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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Guide to access the National AMR Surveillance Dashboard
Further Analysis of the 2014 Cambodia Demographic and Health Survey | DHS Further Analysis Reports No. 105
Antimicrobial resistance (AMR) is a global threat that requires urgent collaborative action within and among countries. AMR makes standard treatments ineffective and facilitates the spread of antimicrobial resistant infections rendering communities vulnerable. The Ministry of Health (MOH) and Minist...ry of Agriculture, Livestock, Fisheries & Blue Economy (MALF) recognized antimicrobial resistance as a priority following findings from status reports and studies from Ministries, Departments, Agencies and Stakeholders.
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Session V: Regulatory & quality assurance aspects
Update on prequalification of ARVs and regional harmonisation of medicine registration
Deusdedit K. Mubangizi
Group Lead, Inspections, WHO-PQT E-mail: mubangizid@who.int
Acknowledgements:
• Matthias Stahl
• Milan Smid
• Antony Fake
...• Jacqueline Sawyer
• Iveta Streipa
D-Building – UNAIDS
Kofi A. Annan Meeting Room
Wednesday, 9 March 2016 11:15 – 11:30
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PQDx 0197-045-00 WHO
PQDx PR
March /2016, version 2.0
The primary objective of the 2015-16 MDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the MDHS collected information on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, breastfeeding practices, n...utrition, maternal and child health and mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections (STIs), and other health-related issues such as smoking and knowledge of tuberculosis. As the 2015-16 MDHS is the first DHS survey in the country, trend analysis is not carried out in this report.
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