DHS Analytical Studies No. 40
DHS Working Papers No. 111 | Zimbabwe Working Papers No. 12
DHS Working Papers No. 85
This study aimed to understand the patterns of HIV drug resistance in pregnant women in Mozambique. This might help in tailoring optimal regimens for prevention of mother to child transmission of HIV (pMTCT) and antenatal care.
PLOS ONE | https://doi.org/10.1371/journal.pone.0210937
February 5, 2019
Journal of Microbiology and Infectious Diseases / 2015; 5 (3): 110-113
JMID, doi: 10.5799/ahinjs.02.2015.03.0187
Tokar A, et al. Sex Transm Infect 2019;95:193–200. doi:10.1136/sextrans-2018-053684
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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PLOS ONE | https://doi.org/10.1371/journal.pone.0196380 May 15, 2018
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
Clinical Infectious Diseases
1586 - 1594 • CID 2016:62 (15 June) • HIV/AIDS
PLOS ONE | DOI:10.1371/journal.pone.0144057 December 14, 2015
A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
Parasite Epidemiology and Control Volume 27, November 2024, e00380
The planning and implementation of intervention measures against schistosomiasis, particularly mass administration, require knowledge of the current status of the infection. This is important for monitoring the impact of the interve...ntion on disease indicators such as a decline in infection prevalence, intensity of infection, and urogenital morbidities. Following repeated rounds of mass treatment in northwestern Tanzania, the epidemiology of urogenital schistosomiasis has changed; thus, for the effective planning and allocation of resources, it is important to understand the current status of the disease in the targeted groups
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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