This is the Technical Annex for the BRACED report: Measuring changes in household resilience as a result of BRACED activities in Myanmar.
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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World Psychiatry16:2 - June 2017
First published: 12 May 2017
https://doi.org/10.1002/wps.20428
Volume16, Issue2; Pages 213-214
WHO
Considering programmatic implications of rising levels of HIV drug resistance: finalizing the Global Action Plan
Webinars 12 13 Dec 2016
Case studies from Freetown-Western Area and Moyamba Districts
UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
Outil pour la communication comportementale et sociale dans le cadre de la riposte aux flambées épidémiques
This field workbook supports the implementation of the interagency (FAO, UNICEF, WHO) “Communication for Behavioural Impact (COMBI): A toolkit for behavioural and social communication in outbreak response”. It is a handheld guide and notebook for applying the WHO COMBI methodology in 7-steps, du...ring an outbreak. It is primarily intended for risk communication, developmental communication and health promotion/education personnel working in multidisciplinary teams to investigate and respond to disease outbreaks. It contains essential tools, checklists, and information needed to design effective behavioural and communication interventions in support of outbreak prevention and control objectives - to limit loss of life and minimize disruption to families, communities and societies
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The report examines some of the underlying causes of domestic violence and the impact on children of being exposed to violence in the home.
The Public Health Burden of Secondhand Exposure to Commercial Tobacco Smoke Secondhand smoke, the combination of smoke from burning commercial tobacco* products and the smoke breathed out by a person who is smoking, is deadly.
This guide presents a basis for understanding how diarrhoeal diseases are currently influenced by climate and weather, and may be further exacerbated by climate change. It is a technical guide on how to conduct a Vulnerability & Adaptation assessment for diarrhoeal diseases and climate change, and p...rovides guidance on how to:
identify populations and regions vulnerable to diarrhoeal diseases and the reasons for their vulnerability;
establish relevant baselines that can be analysed and monitored;
conduct analyses to project how diarrhoeal diseases may be impacted in the future due to climate change; and
identify appropriate responses to mitigate and monitor these risks over time.
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This report presents an overview of the state of air quality and its impacts on health in Africa.
This report examines the support to private healthcare provision in India by the World Bank’s private sector arm, the International Finance Corporation (IFC). Despite supporting private healthcare in the country since 1997, no healthcare results for lending and investments have been disclosed sinc...e the start of these operations over twenty-five years ago. The IFC has overwhelmingly invested in high-end urban hospitals which are out of reach for the majority of Indians. Several have consistently failed to provide free healthcare to poor patients despite this being a condition under which free or subsidized public land was allotted to these hospitals. Supporting private healthcare in a context where 37% of Indians experience catastrophic health expenditures in private hospitals appears to run counter to the World Bank Group’s focus on poverty reduction. These investments do not contribute to the building of stronger healthcare infrastructure or respond to unmet healthcare needs. Only 14% of IFC-financed hospitals are located in the 10 states ranked lowest in terms of the overall performance of the health system. Furthermore, we found many instances where regulators upheld complaints pertaining to violations of patients’ rights by these hospitals including overcharging, denial of healthcare, price rigging, financial conflict of interest and medical negligence.
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