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PLOS Medicine | https://doi.org/10.1371/journal.pmed.1002462 November 28, 2017
Vol. 7, No. 1 (2018) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2018.295 | http://cajgh.pitt.edu
Street-based adolescents at high risk of HIV in Ukraine
J. R. Busza; O. M. Balakireva; A. Teltschik; et al.
J Epidemiol Community Health; Research Gate
(2011)
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J Epidemiol Community Health 2011;65:1166e1170. doi:10.1136/jech.2009.097469
Analytical report
Legal environment Assessment for HIV in Ukraine
USAID (U.S. President’s Emergency Plan for AIDS Relief)
(2017)
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F1000Research 2019, 8:323 Last updated: 17 MAY 2019
PLOS ONE | https://doi.org/10.1371/journal.pone.0203986 October 3, 2018
Reduction of HIV-related stigma and discrimination
UNAIDS; UNDP
(2014)
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UNAIDS 2014 | Guidance Note
PLOS ONE | https://doi.org/10.1371/journal.pone.0183180 October 9, 2017
Journal of Infection and Public Health 12 (2019) 213–223
Practical Guidance for collaborative interventions
2016 Update
Key population
Guidelines
Key Populations
The goal of this assessment is to determine how far USAID/Senegal’s HIV/AIDS and TB programs have achieved their specific objectives with regard to identifying potential leads for improvement that are likely to make it easier to reach the planned
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results. After responding to the issues developed in various themes of the assessment, the results are placed in context and specific conclusions to each component are provided. The assessment also identifies the lessons learned from USAID/Senegal’s HIV/AIDS and TB programs and provides recommendations for future intervention.
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This study addresses part of the Terms of Reference for a scoping report ‘An analysis of approaches to laboratory capacity strengthening for drug resistant infections in low and middle income countries’. It has been produced as a separate report because it is also very relevant for a second stud
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y ‘Supporting Surveillance Capacity for Antimicrobial Resistance: Regional Networks and Educational Resources’. This study compares antimicrobial surveillance systems in three low and middle income countries in order to describe the components of these systems and to understand which surveillance models are best suited to particular contexts. Ghana, Nigeria and Nepal were selected as study countries because they cover different continents and include one ‘fragile’ context (Nigeria). Brief information from Malawi is also included.
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The global emergence of antimicrobial resistance (AMR) is posing a threat to human health. Putting resources into the containment of AMR – including surveillance – is one of the highest-yield investments a country can make to mitigate its impact
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. In 2015, WHO launched the Global Antimicrobial Resistance Surveillance System (GLASS), the first global collaborative effort to foster AMR surveillance in bacteria causing acute infections. As of December 2018, 71 countries are enrolled in GLASS. The aim of this report is to document participation efforts and outcomes across these countries, and highlight differences and constraints identified to date. This report follows on from the first GLASS Report – Early implementation 2016-17, published in January 2018, and drawing on data from GLASS first data call in 2017.
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The COVID-19 pandemic has exposed the inadequacy of investments in public health, the persistence of profound economic and social inequalities and the fragility of many key global systems and approaches.
Whole-genome sequencing (WGS) provides a vast amount of information and the highest possible resolution for pathogen subtyping. The application of WGS for global surveillance can provide information on the early emergence and spread of AMR and furth
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er inform timely policy development on AMR control. Sequencing data emanating from AMR surveillance may provide key information to guide the development of rapid diagnostic tools for better and more rapid characterization of AMR, and thus complement phenotypic methods. This document addresses the applications of WGS for AMR surveillance, including the benefits and limitations of current WGS technologies
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