DHS Further Analysis Reports No 102
A systematic review informing a radical transformation of health workforce development
Menthol in tobacco products
Guidelines for the treatment of human African trypanosomiasis. Web Annex A. Commissioned by WHO Cochrane Response
The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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Scientific Brief 9 July 2020
This document updates the earlier version published in April 2020. In recent weeks, information on the potential use of chloroquine or hydroxychloroquine for the treatment of people with COVID-19 has been disseminated in academic journals and public media. Although there are now ongoing clinical tri...als testing the efficacy and safety of several medicines for COVID-19, as of the date of this document, there is a lack of quality evidence to demonstrate chloroquine and/or hydroxychloroquine are effective in the treatment of COVID-19. Evidence is recently emerging via small studies with sub-optimal methodologies that are conflicting.
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Scientific Brief, 30 June 2020
HIV, viral hepatitis and STI epidemics, particularly among people who inject drugs and other key populations, continue to be fuelled by laws and policies criminalizing sex work; drug use or possession; diverse forms of gender expression and sexuality; stigma and discrimination; gender discrimination...; violence; lack of community empowerment and other violations of human rights. These sociostructural factors limit access to health services, constrain how these services are
delivered and diminish their effectiveness.
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Updated Interim guidance 29 July 2020
The provision of safe water, sanitation and waste management and hygienic conditions is essential for preventing and for protecting human health during all infectious disease outbreaks, including of coronavirus disease 2019 (COVID-19). Ensuring evidenced-based ...and consistently applied WASH and waste management practices in communities, homes, schools, marketplaces, and healthcare facilities will help prevent human-to-human transmission of pathogens including SARS-CoV-2, the virus that causes COVID-19.
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This document aims to provide concrete, pragmatic guidance for how TB modelling and related technical assistance is undertaken to support country decision-making. The target audience for this document are the participants and stakeholders in country-level TB modelling efforts, including the individu...als who build and apply models; policy-makers, technical experts and other members of the TB community; international funding and technical partners; and individuals and organizations engaged in supporting TB policy-making.
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13 April 2021 Policy Brief
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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