Health facilities providing human immunodeficiency virus (HIV) testing, care and treatment in Liberia. To evaluate individuals aged ⩾15 years who were tested, diagnosed and enrolled into HIV care before (2013), during (2014) and after the Ebola outbreak (2015). A cross-sectional descriptive study. A median of 6930 individuals aged ⩾15 years per county were tested for HIV before the Ebola outbreak; this number declined by 35% (2444/6930) during the outbreak. HIV positivity remained similar before (7028/207 314, 3.4%) and during the outbreak (4146/121 592, 3.5%). During Ebola, HIV testing declined more in highly affected counties (68 035/127 468, 47%) than in counties that were less affected (16 444/23 955, 31%, < 0.001). Compared to the pre-Ebola period, HIV testing in less-affected counties recovered more quickly during the post-outbreak period, with a 19% increase in testing, while medium and highly affected counties remained at respectively 38% and 48% below pre-outbreak levels. Enrolment for HIV care increased during and after the outbreak compared to the pre-Ebola period. HIV testing and diagnosis were significantly limited during the Ebola outbreak, with the most severe effects occurring in highly affected counties. However, enrolment for HIV care and treatment were resilient throughout the outbreak. Pro-active measures are needed to sustain HIV testing rates in future epidemics.
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http://dx.doi.org/10.5588/pha.16.0101 | DOI Listing |
Open Forum Infect Dis
January 2025
HIV and STD Unit, Infectious Diseases Department, Bellvitge University Hospital/Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat, Barcelona, Spain.
Background: This study was conducted to evaluate screening procedures for anal high-grade squamous intraepithelial lesions (HSILs) with anal liquid-based cytology (aLBC) and biomarkers to identify candidates for high-resolution anoscopy (HRA).
Methods: This cross-sectional study included men who have sex with men with HIV. Participants underwent HRA, aLBC, and biomarker testing.
Indian J Nephrol
August 2024
Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Background: Viral infections can increase the likelihood of an individual developing membranous nephropathy (MN). Limited information is available regarding the treatment approaches for such cases. We conducted a review focusing on hepatitis B (HBV), hepatitis C (HCV), and human immunodeficiency virus (HIV)-associated MN.
View Article and Find Full Text PDFTransfusion
January 2025
Infectious Disease Consultant, North Potomac, Maryland, USA.
Background: US blood donors are tested for syphilis because the bacterial agent is transfusion transmissible. Here we describe trends over an 11-year period of donations positive for recent and past syphilis infections, and donations classified as syphilis false positive (FP).
Methods: Data from January 1, 2013, to December 31, 2023 (11 years) were compiled for all American Red Cross blood donations to evaluate demographics/characteristics and longitudinal trends in donors testing syphilis reactive/positive.
Arch Sex Behav
January 2025
Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz (INI-Fiocruz), Rio de Janeiro, Brazil.
Perceived risk for HIV acquisition among gay, bisexual, and other men who have sex with men (GBMSM) may not align with their actual sexual HIV exposure. Factors associated with low/moderate perceived risk among GBMSM eligible for pre-exposure prophylaxis (PrEP) (based on their high estimated HIV exposure) have been poorly described in Latin America. This is a secondary analysis of a 2018 web-based cross-sectional survey in Brazil, Mexico, and Peru.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Background: HIV testing is the cornerstone of HIV prevention and a pivotal step in realizing the Joint United Nations Program on HIV/AIDS (UNAIDS) goal of ending AIDS by 2030. Despite the availability of relevant survey data, there exists a research gap in using machine learning (ML) to analyze and predict HIV testing among adults in South Africa. Further investigation is needed to bridge this knowledge gap and inform evidence-based interventions to improve HIV testing.
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