The National Guidelines for HIV-1 Viral Load Laboratory Testing support plans to scale up viral load (VL) testing to reach the 90-90-90 targets in India. This phased scale-up includes the setup of 70 additional VL testing laboratories nationally. These guidelines include laboratory design considerat...ions, a summary of VL technologies, and specimen collection and handling as well as transportation and storage guidance. Quality control and quality assurance requirements are described as well as laboratory safety issues. The guidelines also describe the VL laboratory network to be developed with supply chain management issues and commodities described. Annexes include laboratory registers and reporting forms.
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This document provides interim guidance on the prevention, identification and management of health worker infection in the context of COVID-19. It is intended for occupational health departments, infection prevention and control departments or focal points, health facility administrators and public ...health authorities at both the national and facility level.
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This handbook was designed primarily as a tool for district clinical specialist teams (DCSTs), and for the provincial specialists who will guide and support their work. This handbook will also be useful to managers of health facilities, heads of clinical units and nurses, doctors and allied health w...orkers at the coalface of clinical care. This handbook will be of interest to district managers and other members of the district management team who are dedicated to developing the capacity of the district health system to respond
effectively to the health needs of the population they serve. It will help them understand the role of the DCSTs and the type of
activities they need to engage in to improve the quality of care
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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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Testimonies from Humanitarian Workers with Disabilities.
By reading the first-hand accounts, we hear how persons with disabilities, not through any particular talent or skill but from unique knowledge gained through life experience, are ideally placed to provide insights, ideas and leadership, to s...upply essential data, and to fill the gaps in humanitarian response that cause this exclusion.
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Republic of Armenia
Reporting period: January-December 2015
Accessed: 29.09.2019
Rashtriya Bal Swasthya Karykram (RBSK). Operational Guidelines
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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