Sexual Behavior, Sexual Networks and STDs in China

描述（申请人提供）：性传播疾病（STD）在毛泽东时代几乎被根除后，在中国卷土重来。目前的性病水平提供了一个强有力的迹象，越来越多的中国人正在从事高风险的性行为。该项目将通过对上海大都市区的3个人群进行性行为和性网络的横断面抽样调查，调查中国成年人的性行为和性混合模式：成年常住人口、农村流动人口和在娱乐场所工作的有从事卖淫风险的妇女。受访者将被要求提供有关他们自己、他们的伴侣以及他们伴侣关系的行为特征的详细信息。他们还将被要求提供有关其健康状况和与性传播疾病有关的症状的信息。将从同意提供生物标志物（尿液）的受访者中收集生物标志物，并进行检测以测量衣原体和淋病。从由此获得的数据，我们将获得经验接地，特定人群的行为输入参数，用于数学模型，将允许在上海观察到的性行为的影响，在中国人口中的性病传播的探索。此外，我们建议利用收集到的数据对识别的性伴侣在上海的社会组织的关键属性，性伴侣的组织和性病的患病率之间的关系和跨人群的差异的理解，并确定流行病学相关人群的传播和传播的性病。

DESCRIPTION (provided by applicant): Sexually transmitted diseases (STDs) have made a comeback in China after their virtual eradication during the Mao era. Current levels of STDs provide a strong indication that a growing number of Chinese are engaging in high-risk sexual behaviors. The proposed project will investigate sexual behavior and sexual mixing patterns of Chinese adults through a cross-sectional sample survey of sexual behavior and sexual networks to be conducted among 3 populations in the Shanghai greater metropolitan area: the adult resident population, rural migrants and women working in entertainment establishments at risk of engaging in prostitution. Respondents will be asked to give details about themselves, their partners and the behavioral repertoires of their partnerships. They will also be asked to provide information on their health status and symptoms associated with STDs. Biomarkers (urine) will be collected from respondents who agree to provide them and assays performed to measure Chlamydia and gonorrhea. From the data thus obtained, we will derive empirically grounded, population-specific behavioral input parameters for use in mathematical models that will allow an exploration of the implications of sexual behaviors observed in Shanghai for the spread of STDs in the Chinese population at large. In addition, we propose to utilize the data collected towards the identification of key attributes of the social organization of sexual partnering in Shanghai, the understanding of the relationship between the organization of sexual partnering and differences in prevalence of STDs within and across populations, and the identification of epidemiologically relevant populations to the transmission and spread of STDs.