This document simplifies the WHO guidance on severe acute respiratory infection (SARI) treatment centres and is meant to be accessible to healthcare workers, policymakers and others who want
a quick overview of the key requirements for a COVID-19 isolation centre either within an existing facility ...or as a standalone centre.
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PLoS Medicine Vol. 6 no. 10 (2009) e1000165
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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This Manual is primarily intended for Local Government, Community Based Organizations and Civil Society Organizations (CSO) supporting or implementing Community Based Disaster Risk Management (CBDRM) program.
Statistical Report | No. 39: 2013
DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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Health Systems in Transition. Vol. 5 No.3 2015
Republic of Armenia
Reporting period: January-December 2015
Accessed: 29.09.2019
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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