Browsing by Author "Chowdhury MDT"

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    Assessing regional variations and sociodemographic barriers in the progress toward UNAIDS 95-95-95 targets in Zimbabwe.
    (2025-Apr-09) Chowdhury MDT; Bershteyn A; Milali M; Citron DT; Nyimbili S; Musuka G; Cuadros DF; Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA. diego.cuadros@uc.edu.; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.; Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.; International Initiative for Impact Evaluation, Harare, Zimbabwe.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
    BACKGROUND: The HIV/AIDS epidemic remains critical in sub-Saharan Africa, with UNAIDS establishing "95-95-95" targets to optimize HIV care. Using the 2020 Zimbabwe Population-based HIV Impact Assessment (ZIMPHIA) geospatial data, this study aimed to identify patterns in these targets and determinants impacting the HIV care continuum in underserved Zimbabwean communities. METHODS: Analysis techniques, including Gaussian kernel interpolation, optimized hotspot, and multivariate geospatial k-means clustering, were utilized to establish spatial patterns and cluster regional HIV care continuum needs. Further, we investigated healthcare availability, access, and social determinants and scrutinized the association between socio-demographic and behavioral covariates with HIV care outcomes. RESULTS: Disparities in progress toward the "95-95-95" targets were noted across different regions, with each target demonstrating unique geographic patterns, resulting in four distinct clusters with specific HIV care needs. Key factors associated with gaps in achieving targets included younger age, male gender, employment, and minority or no religious affiliation. CONCLUSIONS: Our study uncovers significant spatial heterogeneity in the HIV care continuum in Zimbabwe, with unique regional patterns in "95-95-95" targets. The spatial analysis of the UNAIDS targets presented here could prove instrumental in designing effective control strategies by identifying vulnerable communities that are falling short of these targets and require intensified efforts. We provide insights for designing region-specific interventions and enhancing community-level factors, emphasizing the need to address regional gaps and improve HIV care outcomes in vulnerable communities that lag behind.