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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A Handbook for country programmes
Collection of country-level good practices
Severe acute respiratory infections treatment centre: practical manual to set up and manage a SARI treatment centre and a SARI screening facility in health care facilities
Policy brief based on the 2007 Rwanda Service Provision Assessment (RSPA) survey. The 2007 RSPA survey describes how the formal health sector in Rwanda provides services for family planning, maternal health, child health, malaria, HIV/AIDS, and other communicable diseases.
The main objective of this mission was to assess the level of preparedness of Guinea-Bissau in respect of the WHO consolidated checklist. The checklist helps countries to assess and test their level of readiness it is being used to identify concrete action to be taken and where countries will requir...e support from partners. It lists 10 key components and tasks for both countries and the international community that should be completed within 30, 60 and 90 days from the date of issue of the list, with minimal requirements for equipment, material and human resources.
The components include: overall coordination; rapid response teams; public awareness and community engagement; infection prevention and control; epidemiological and laboratory surveillance; contact tracing; points of entry; laboratory; social mobilization and risk communication; budget.
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The first important change is a new priority ranking of the available medicines for MDR-TB treatment, based on a careful balance between expected benefits and harms. Treatment success for MDR-TB is currently low in many countries. This could be increased by improving access to the highest-ranked med...icines for all patients with MDR-TB.
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HIV Testing and Counselling Guidelines
Over the reporting period, economic actors continued to carry out their activities with little regard for their impacts on the livelihoods of the communities living in the surrounding areas. In Doo Tha Htoo (Thaton) District, cold dust from a Tatmadaw-run cement factory contaminated nearby waterways... during the rainy season. As a result, civilians from at least 15 villages faced water shortages. In Mu Traw (Hpapun) and Kler Lwee Htoo districts, gold mining activities damaged forests and polluted water and soils in several village tracts. In both cases, the economic actors involved failed to secure the free, prior and informed consent (FPIC) of the local population, and did not compensate the affected communities for the damage caused.
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