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A healthcare worker manual. 2nd edition
The development of this National Manual for the Management of HIV-related Opportunistic Infections and Conditions for use by health care workers at the front...
Regional Network for Equity in Health in east and southern Africa (EQUINET): Disussion Paper 113
This report synthesises the learning across the full programme of work. It presents the methods used, the context and policy motivations for deve...
This report synthesises the learning across the full programme of work. It presents the methods used, the context and policy motivations for deve...
Washington, D.C., USA, 23-27 September 2018
Provisional Agenda Item 4.6
CD56/10, Rev. 1 31 August 2018
Original: Spanish
Saving Lives: Universal access to Trauma Services in Kenya
This open access book not only describes the challenges of climate disruption, but also presents solutions. The challenges described include air pollution, climate change, extreme weather, and related health impacts that range from heat stress, vect...
District Level M & E Training and Reference Material for Primary Health Care Programmes
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 ... 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.
scientific brief, 2 March 2022
Sectors in which Priority Adaptation Projects should be implemented first include:
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public Health and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Thir...
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public Health and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Thir...
Perspectives on Drugs
HIV treatment
Policy brief
July 2017
WHO/HIV/2017.18
Accessed Febr. 6, 2020
Supplement Article
Antiretrovirals to Prevent HIV Infection • CID 2015:60 (Suppl 3) • S159 - S160
Refugees and migrants face similar health threats from COVID-19 as their host populations. However, inadequate access to essential services and exclusion may makes early detection, testing, diagnosis, contact tracing and seeking care for COVID-19 difficult for refugees and migrants thus increasing t...
