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Edwards, J. K.

Publications and source records attributed to Edwards, J. K..

2 recordsLinked to original sources

Are you suppressed? Viral load test coverage for people living with HIV in Mutare District, Manicaland Province, Zimbabwe, 2015-2017

BackgroundThe third 90-90-90 UNAIDS goal require that 90% of people living with HIV (PLHIV) on antiretroviral treatment (ART) achieve viral load (VL) suppression. This study assessed the proportion of VL suppression and related factors among PLHIV on 1st and 2nd line ART in Mutare District, Manicaland Province, Zimbabwe between 2015-2017.\n\nMethodsA retrospective study using routine HIV programme data from the electronic monitoring system for nine health facilities in Mutare District. VL suppression was defined as < 1,000 copies/ml.\n\nResultsOf 16,590 registered patients, 15,566(94%) were on first-line and 1024(6%) on second-line ART. Of those on 1st-line ART, 2856(18%) had a VL test result documented, while 367(36%) of 2nd-line ART patients had VL results. VL suppression rates were 86% among those on 1st-line and 45% in 2nd-line ART. Independent risk factors associated with VL non-suppression for those on 1st-line ART were age 0-9 years (adjusted relative risk, aRR=2.9; 95% confidence interval, CI=1.7-4.8;P<0.001), 10-19 years (aRR=2.2;95%CI=1.4-3.2,P<0.001) compared to those 20-49 years, concurrent TB (aRR=9; CI=3.0-29.7,P<0.001) and male gender (aRR=1.5,95%CI=1.1-2.1;P=0.02). There were no significant risk factors associated with VL non-suppression for 2nd-line ART patients.\n\nConclusionFor PLHIV on 1st-line ART in Mutare district, Manicaland, Zimbabwe, the frequency of reported VL results were only 18% among those on 1st-line ART, while the rate of VL suppression was near 90%. Viral Load testing coverage appears to be lagging behind current Zimbabwe goals and increased support is needed to improve the quality of HIV care and help reduce the threat of possible HIV drug resistance in the future.

epidemiology

Bayesian estimation of MSM population size in Côte d’Ivoire

Cote dIvoire has one of the largest HIV epidemics in West Africa with around half million people living with HIV. Key populations like gay men and other men who have sex with men (MSM) are often disproportionately burdened with HIV due to specific acquisition and transmission risks. Quantifying the MSM population sizes at subnational level is critical to improving the HIV prevention interventions. While survey-based direct estimates of MSM numbers are available at a few urban centers in C{circumflex}ote dIvoire, no data on MSM population size exists at other areas without any community infrastructure to facilitate sufficient access to the MSM community. We use this limited data in a Bayesian regression setup to produce first empirically calculated estimates of the numbers of MSM in all areas of C{circumflex}ote dIvoire prioritized in the HIV response. Our hierarchical model imputes missing covariates using geospatial information and allows for proper uncertainty quantification leading to meaningful confidence bounds for the predicted MSM population size estimates. The intended impact of this process is to increase uptake and use of high quality, comprehensive epidemiologic and interventional data in program planning. These estimates will help design future surveys and support the planning of the scale and content of HIV prevention and treatment programs for MSM in C{circumflex}ote dIvoire.

epidemiology