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Human papillomavirus genotype distribution and factors associated among female sex workers in West Africa

PLoS ONE, Volume 15, No. 11 November, Article e0242711, Year 2020

Objectives This study aimed to: (1) Estimate HPV prevalence and genotype distribution among female sex workers (FSWs) in Mali and Benin as well as the prevalence of multiple HPV type infections in this group, and (2) Identify potential risk factors associated with high-risk (HR) HPV infections. Methods We analyzed baseline data of 665 FSWs aged ≥ 18 years recruited during a prospective cohort of cervical cancer screening in Cotonou (Benin) and Bamako (Mali) from 2017 to 2018. The Linear Array HPV genotyping test was used to identify HPV genotypes. Descriptive statistics and multivariate log-binomial regression were used. Adjusted prevalence ratios (APR) with 95% confidence intervals (95%CI) were estimated to identify risk factors associated with HR-HPV infections. Results HPV data were available for 659 FSWs (Benin: 309; Mali: 350). The mean age was 35.0 years (± 10.7) in Benin and 26.8 years (± 7.6) in Mali. The overall HPV prevalence rates were 95.5% in Benin and 81.4% in Mali. About 87.7% and 63.4% of FSWs harbored ≥ 2 HPV types in Benin and Mali, respectively. The top three prevalent HR-HPV among FSWs in Benin were: HPV58 (37.5%), HPV16 (36.6%) and HPV52 (28.8%). Corresponding patterns in Mali were HPV16 (15.7%), HPV51 (14.3%) and HPV52 (12.9%). In Benin, the main factors associated with HR-HPV were vaginal douching (APR = 1.17; 95%CI:1.02- 1.34) and gonococcal infection (APR = 1.16; 95%CI:1.04-1.28), while in Mali they were sex work duration ≤ 1 year (APR = 1.35; 95%CI:1.10-1.65) and HIV infection (APR = 1.26; 95% CI: 1.06-1.51). Conclusion Our study found a very high prevalence of HPV infection as well as high frequency of multiple HPV type infections in FSWs in two countries in West Africa. These findings suggest the necessity to emphasize cervical cancer prevention in this high-risk group.
Statistics
Citations: 12
Authors: 12
Affiliations: 9
Identifiers
Research Areas
Cancer
Genetics And Genomics
Infectious Diseases
Study Design
Cross Sectional Study
Cohort Study
Study Approach
Quantitative
Study Locations
Multi-countries
Benin
Mali
Participants Gender
Female