Micro-structural factors associated with the prevalence of STIs among commercial female sex workers (FCSWs) in Dhaka City, Bangladesh.

Micro-structural factors associated with the prevalence of STIs among commercial female sex workers (FCSWs) in Dhaka City, Bangladesh.</p

‘Conceptual framework’ shows different physical/social/economic/policy levels macro and micro-structural factors associated with the prevalence of sexually transmitted infections among female commercial sex workers (FCSWs) in Dhaka, Bangladesh.

‘Conceptual framework’ shows different physical/social/economic/policy levels macro and micro-structural factors associated with the prevalence of sexually transmitted infections among female commercial sex workers (FCSWs) in Dhaka, Bangladesh.</p

Socio-economic and individual risk factors associated with STIs.

Socio-economic and individual risk factors associated with STIs.</p

Micro-structural factors associated with the prevalence of STIs among commercial sex workers in Dhaka city, Bangladesh.

Micro-structural factors associated with the prevalence of STIs among commercial sex workers in Dhaka city, Bangladesh.</p

Prevalence of sexually transmitted infections (STIs) among female commercial sex workers (FCSWs) in Dhaka city, Bangladesh.

Prevalence of sexually transmitted infections (STIs) among female commercial sex workers (FCSWs) in Dhaka city, Bangladesh.</p

Structural determinants associated with STIs in multiple logistic regression models.

Structural determinants associated with STIs in multiple logistic regression models.</p

Contains additional details on the different ‘categories’ of independent variables and estimation of consistent condom use (CCU) (Materials and Methods section).

Contains additional details on the different ‘categories’ of independent variables and estimation of consistent condom use (CCU) (Materials and Methods section).</p

Bivariate analysis (Unadjusted odds ratio/UOR) shows different structural determinants associated with the prevalence of STIs among female sex workers.

Bivariate analysis (Unadjusted odds ratio/UOR) shows different structural determinants associated with the prevalence of STIs among female sex workers.</p

Sexual networking, high-risk sexual behaviors, and the work environment associated with STIs.

Sexual networking, high-risk sexual behaviors, and the work environment associated with STIs.</p