Evaluation of statistical regression models in predicting factors influencing HBV and HIV among female sex workers in Ghana: A Bio-behavioural survey

The Cox proportional hazards model proved highly effective in identifying the key risk factors for both HBV and HIV. Behavioral factors like alcohol use, social determinants such as stigma, and demographic variables such as age and education played significant roles in influencing infection risks. These findings highlight the need for tailored public health interventions that address alcohol-related behaviors, reduce stigma, and improve health literacy among FSWs.

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Publication Details

Journal
PLoS ONE
Published
2025-09-12
DOI
https://doi.org/10.1371/journal.pone.0332152
Primary Topic
Hepatitis B Virus Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluation of statistical regression models in predicting factors influencing HBV and HIV among female sex workers in Ghana: A Bio-behavioural survey

Ernest Tei-Maya, Chris Guure, Seth Kwaku Afagbedzi, Julius Adjei-Roger
PLoS ONE
Hepatitis B Virus Studies
article

Evaluation of statistical regression models in predicting factors influencing HBV and HIV among female sex workers in Ghana: A Bio-behavioural survey

Ernest Tei-Maya, Chris Guure, Seth Kwaku Afagbedzi, Julius Adjei-Roger
article en

Abstract

The Cox proportional hazards model proved highly effective in identifying the key risk factors for both HBV and HIV. Behavioral factors like alcohol use, social determinants such as stigma, and demographic variables such as age and education played significant roles in influencing infection risks. These findings highlight the need for tailored public health interventions that address alcohol-related behaviors, reduce stigma, and improve health literacy among FSWs.

PLoS ONEVol. 20(9)
University of Ghana (GH)
Openalex Percentile: Top 67%
Hepatitis B Virus Studies
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