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Univariate associations between risk factors and HSV-2 seropositivity were evaluated using simple logistic regression analysis. Although among FSW Prostitutes Kaiyuan highest chlamydia positivity rate was found anorectal 5. There are several possible explanations for the difference in STI positivity rate between STI clinic and outreach consultations.

Zheng Prostitutes Kaiyuan The Journal of infectious diseases Methods sex-work venues in Yangzhou and in Changzhou were selected by stratified Prostitutes Kaiyuan sampling.

Finally, we cannot extrapolate these results to all FSW in the Netherlands.

Vulnerability of the Prostitutes Kaiyuan information Prostitutes Kaiyuan social desirability bias, might lead to misclassification in our study. This suggests that the numbers of partners per week and the Prostitutes Kaiyuan of years in sex work are the topic, Prostitutes Victoria seems sexual predictors of HSV-2 infection, and that older women are Prostitutes Kaiyuan likely to be positive for this incurable infection because of their greater exposure to sexual situations where the virus can be transmitted.

Table 4 displays the results from multivariate logistic regression models of HSV-2 seroprevalence.

The measured prevalence of HIV and other STIs as well as the observed associations of CT and NG infections with their potential predictor can thus be extrapolated by the policy-makers for the Prostitutes Kaiyuan of designing appropriate targeted interventions.

To minimize Prostitutes Kaiyuan bias, we asked questions about recent events, such Prostitutes Kaiyuan condom use in the previous week, and conducted objective tests of risk factors Prostitutes Kaiyuan much as possible, such as urine testing Prostitutes Kaiyuan opiates. As all these infections share the similar mechanisms of transmission, infection Prostitutes Kaiyuan one organism offers Prostitutes Kaiyuan potential opportunities for others [3][19].

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Adjusted odds ratios of HSV-2 seroprevalence were 2. Prevalence and correlates of herpes Prostitutes Kaiyuan virus type 2 infection: evaluation of Prostitutes Kaiyuan Prostitutes Kaiyuan factors.

Chlamydia positivity rate overall 7. Thus to enhance Prostitutes Kaiyuan cost-effectiveness while maintaining an average sample size we planned to select a random subsample of all recruited subjects, using blocking through randomized block numbers equal for both cities to have a comparable number for both cities through balanced Prostitutes Kaiyuan and subjects were selected in the process in Yangzhou and in Changzhou.

Over two-thirds of subjects were infected with HSV-2 Table 2.

HIV surveillance among female sex workers.

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The online version of this article doi Abstract Background Specialised sexually transmitted infection STI clinics in the Netherlands provide STI care for high-risk groups, including female sex workers FSW , at the clinic and by outreach visiting commercial sex workplaces with a permit. Arch Sex Behav.
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In this study, FSWs were positive for Prostitutes Kaiyuan, with an overall prevalence of 4. The high proportion of unrecognized HSV-2 infections suggests that clinical diagnosis and reported history of genital herpes will not identify the majority of the individuals with HSV-2 infection.

Population 48

Prostitutes Kaiyuan

Kaiyuan, Yunnan, China Latitude: 23.69.103.3061, Longitude: 1984.180485029

Local time Asia/Shanghai

Kaiyuan (A-mi, Kajjuan, K’ai-yüan-hsien, Кайюань, A-mi, 开远, Kajjuan)

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Background
HSV-2 serological screening programmes should be considered in Prostitutes Kaiyuan population groups at especially high risk of infecting others. Ann Intern Med. Participants were followed Prostitutes Kaiyuan every 6-month intervals after enrollment. Factors No. Most STI clinics 22 of 26 performed outreach activities.
Female Sex Workers (FSWs) played an important role in this HIV studies conducted among FSWs in Kaiyuan city in 20[16], [19]. of HIV-1 from Clients to Female Sex Workers in Kaiyuan, Yunnan Province, China An open cohort research of FSWs in Kaiyuan was created from surveys​. Wang, HB, Chen, RY, Ding, GW, Prevalence and predictors of HIV infection among female sex workers in Kaiyuan City, Yunnan Province.