PLOS ONE | https://doi.org/10.1371/journal.pone.0185526 September 28, 2017
Global Health and Tropical Medicine, GHTM, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisboa, Portugal
PLoS ONE 9(6): e99880. doi:10.1371/journal.pone.0099880
Published June 17, 2014
PLOS ONE | https://doi.org/10.1371/journal.pone.0210937
February 5, 2019
DHS Working Papers No. 85
DHS Working Papers No. 111 | Zimbabwe Working Papers No. 12
PLOS ONE | https://doi.org/10.1371/journal.pone.0203986 October 3, 2018
School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
PLOS ONE | www.plosone.org 1, May 2013 | Volume 8 | Issue 5 | e64915
Clinical Infectious Diseases
1586 - 1594 • CID 2016:62 (15 June) • HIV/AIDS
A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
Policy brief. HIV testing services (HTS) and anti-retroviral therapy (ART) have been scaled up substantially. It is estimated that, globally, nearly 80% of people with HIV now know their status. With the offer of immediate ART initiation and improved treatment options, access to and uptake of treatm...ent have increased, too. Now, most people with HIV who know their status are obtaining treatment and care.
In response to these changes in the global HIV epidemic, WHO is encouraging countries to use three consecutive reactive tests for an HIV-positive diagnosis as their treatment-adjusted prevalence and national HTS positivity fall below 5% .
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HIV Prevalence: Data from the 2010 Rwanda Demographic and Health Survey.
DHS Further Analysis Reports No. 89 - The 2010 Rwanda Demographic and Health Survey shows that 3 percent of Rwandan adults age 15-49 have been infected with HIV. The prevalence was much higher in urban areas, among women, and among adults who had multiple lifetime sexual partners and used a condom a...t last sexual intercourse. The
level of and differences in HIV prevalence in Rwanda in 2010 are very similar to those observed in 2005. Using data from the two recent Rwanda Demographic and Health Surveys, implemented in 2005 and
2010, this study examined changes in key HIV-related knowledge, attitudes, and sexual behavior indicators. Significant changes in selected indicators during 2005 and 2010 were determined by Student ttest with p-values less than 0.05.
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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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Since 2001, several Demographic and Health Surveys (DHS) include HIV
testing. For many countries, in particular in sub-Saharan Africa, DHS are
the only national source of data in general population. Several DHS collect
latitude and longitude of surveyed clusters but the sampling method is not
ap...propriate to derive local estimates: sample size is not large enough for a
direct spatial interpolation.
We developed a generic approach to map spatial regional trends of HIV
prevalence from DHS. We present how our results from Burkina Faso 2003
DHS shed new light on HIV epidemics.
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However, very little is known about the trend of the quality of life over
time in untreated PLWHA compared to treated patients.
Exploring quality of life trends in treated and untreated
patients will help the health care system develop adapted
strategies to better manage the PLWHA in low-income
...
countries.
This study aimed to assess the quality of life of persons
living with HIV in Burkina Faso, in their routine followup and its change over time.
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The report highlights key trends and developments in laws affecting people living with HIV and key populations in Asia and the Pacific over the five-year period 2014–2019. It updates the legal and policy review conducted in 2016 for UNAIDS, UNDP and the United Nations Economic and Social Commissio...n for Asia and the Pacific (ESCAP). A database of laws of the 38 Member States of ESCAP was created as part of this review. The database identifies laws that are either punitive or enabling for people living with HIV and key populations in Asia and the Pacific.
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WHO’s sentinel surveys of acquired HIV resistance to dolutegravir among people receiving dolutegravir-containing antiretroviral therapy is intended for easy and frequent implementation. Results from sentinel surveys provide insight into the prevalence and year-over-year trends of dolutegravir resi...stance in adults, children and adolescents receiving dolutegravir-based ART.
This sentinel method is implemented complementary to WHO-recommended methods for estimating nationally representative levels of acquired HIV drug resistance.
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