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Publication Years
1
2724
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906
61
4
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Category
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505
257
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Toolboxes
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5
1
This revision covers the main non-communicable diseases in Mozambique as well as the National Strategic Plan's aim to create a positive environment to minimize or eliminate the exposure to risk factors and guarantee access to care.
This WHO information note provides an updated list of recommended criteria for selecting RDTs for malaria, and highlights the performance of RDTs evaluated by the WHO malaria RDT product testing programme. It also provides an overview of additional considerations in the procurement of rapid tests.
The new WHO recommendations for the treatment of isoniazid-resistant, rifampicin-susceptible TB are based upon a review of evidence from patients treated with such regimens by a Guideline Development Group in conformity with WHO requirements for evidence-based policies.
Evidence-to-Decision and Grade tables
Malaria Indicator Survey
Background document to the 2018 joint statement by WHO, UNFPA, UNICEF, ICM, ICN, FIGO and IPA: definition of skilled health personnel providing care during childbirth
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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2016 revision
The Countdown country profile presents in one place the best and latest evidence to enable an assessment of a country’s progress in improving reproductive, maternal, newborn, and child health (RMNCH)
