Machine learning approach and geospatial analysis to determine HIV infection, awareness status, and transmission knowledge among adults in Sub-Saharan Africa

Machine learning approach and geospatial analysis to determine HIV infection, awareness status, and transmission knowledge among adults in Sub-Saharan Africa

Abstract Background HIV/AIDS remains a major public health challenge, in Sub-Saharan Africa (SSA). In 2020, 16% of people living with HIV did not know their HIV status in SSA. Understanding the geospatial distribution of HIV infection, awareness status, and transmission knowledge is crucial for desi...

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Bibliographic Details
Main Authors: Abel Endawkie, Birhan Asmame Miheretu, Anteneh Yalew, Peter S. Nyasulu, Getahun Worku, Ashebir Asaminew, Bayuh Asmamaw Hailu
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Research Notes
Subjects:
Machine learning approach
Geospatial analysis
HIV infection awareness status
HIV transmission knowledge
Sub-Saharan Africa
Online Access:https://doi.org/10.1186/s13104-024-07053-7
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https://doi.org/10.1186/s13104-024-07053-7

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