AIDS Behav (2017) 21:S23–S33 DOI 10.1007/s10461-016-1670-9
PLOS ONE | https://doi.org/10.1371/journal.pone.0196380 May 15, 2018
Eurosurveillance
Impact Factor 5.7
June 2015
www.eurosurveillance.org
Featuring a series of articles on HIV and STI epidemiology, prevention and control among MSM in Europe
UNAIDS/10.03E / JC1767E (English original, March 2010) ISBN 978 92 9 173849 6
Developed in collaboration with the International Council of AIDS Service Organizations (ICASO)
UNAIDS 2016 / Meeting Report
Internally displaced children are twice invisible in global and national data. First, because internally displaced people (IDPs) of all ages are often unaccounted for. Second, because age-disaggregation of any kind of data is limited, and even more so for IDPs.
Planning adequate responses to meet... the needs of internally displaced children, however, requires having at least a sense of how many there are and where they are. This report presents the first estimates of the number of children living in internal displacement triggered by conflict and violence at the global, regional and national levels.
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International Journal of Infectious Diseases 80 (2019) 10–15
journal homepage: www.elsevier.com/locate/ijid
In 2018: 54% of new HIV infections were among key populations and their sexual partners, 40% decrease in new HIV infections since the peak in 1997, 37.9 million people living with HIV in the world, 1 700 000 children living with HIV (under 15 years)
Context and impact of the crisis
A year after the signing of the Revitalized Agreement on the Resolution of the Conflict in South Sudan (R-ARCSS),1 the ceasefire holds in most parts of the country. Armed conflict between State security forces and opposition armed groups has been contained to a sma...ll number of areas in the Equatorias where Government forces continue to clash with non-signatories to the agreement. Many areas are seeing intra- and inter-communal violence, enabled by small-arms proliferation and weak rule of law. This is often driven by resource scarcity in areas that have experienced years of severe food insecurity.
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Journal of Tuberculosis Research, 2017, 5, 189-200
Background: In Benin, little is known about the influence of both gender and
HIV-status on diagnostic patterns and treatment outcomes of Tuberculosis
(TB) patients. Objective: To assess whether differences in gender and HIV
status affect diagn...ostic patterns and treatment outcomes of TB patients. Methods:
Retrospective cohort study of patients registered in 2013 and 2014 in
the three largest TB Basic Management Units in south Benin. Results: Of 2694
registered TB patients, 1700 (63.1%) were male. Case notification rates were
higher in males compared with females (96 vs 53/100,000 inhabitants). The
male to female ratio was 1:1 in HIV positive patients, but was 2:1 among HIV
negative cases. In HIV-positive patients, there were no differences in TB types
between men and women. In HIV-negative patients, there were significantly
higher proportions of females with clinically diagnosed pulmonary TB (p =
0.04) and extrapulmonary TB (p < 0.001). Retreatment TB was 4.65 times
higher amongst males compared with females. For New bacteriologically confirmed
pulmonary TB, no differences were observed in treatment outcomes
between genders in the HIV positive group; but significantly more unfavorable
outcomes were reported among HIV negative males, with higher rates of
failure (p < 0.001) and loss-to-follow up (p = 0.02). Conclusion: The study
has shown that overall TB notification rates were higher in males than in females
in south Benin, with more females co-infected with HIV. Unfavorable outcomes were more common in HIV-negative males.
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Research Article
PLOS Medicine | DOI:10.1371/journal.pmed.1002253 April 4, 2017
UNAIDS Joint United Nations Programme on HIV/AIDS
ECDC Technical Report, Fourth Update 3 July 2020
Research Article
Karo et al. BMC Infectious Diseases 2014, 14:148 http://www.biomedcentral.com/1471-2334/14/148
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...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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