Objective：Few data are available on the epidemiology of HPV and cervical cancer among Chinese women younger than 25 years old.This study aimed to estimate the HPV infection rate and the prevalence of cervical intraep...Objective：Few data are available on the epidemiology of HPV and cervical cancer among Chinese women younger than 25 years old.This study aimed to estimate the HPV infection rate and the prevalence of cervical intraepithelial neoplasia（CIN） in women aged 18-25,as well as their knowledge of and attitudes towards HPV vaccination.Methods：A population-based cervical cancer screening study was conducted on women aged 18-25 in Jiangsu province in 2008.Participants provided socio-demographic,reproductive and behavioral information and completed a survey about their knowledge of and attitudes towards HPV vaccination.Women then underwent a gynecologic exam to provide two cervical exfoliated cell samples for high risk HPV DNA testing and liquid-based cytology（LBC） as well as visual inspection with acetic acid（VIA）.Women testing positive for any test were referred to colposcopy and biopsy.The gold standard for diagnosis of cervical lesions was directed or random biopsies.Results：Within the sample of 316 women,3.4% of them were diagnosed with CIN grade 2 or worse lesions and 17.1% were found to be positive for HPV DNA.Among these young women,extra-marital sexual behavior of them（OR=2.0,95%CI：1.1-3.8） or their husbands（OR=2.6,95%：1.4-4.7） were associated with an increased risk of HPV positivity.Although overall HPV awareness was low,after a brief educational intervention,98.4% reported they would electively receive HPV vaccination and would also recommend that their daughters be vaccinated.However,most urban and rural women reported their ideal maximum out-of-pocket contribution for HPV vaccination to be less than 500 RMB and 50-100 RMB,respectively.Conclusion：Our study indicates cervical disease burden is relatively high among sampled Chinese women aged 18-25.Appropriate educational interventions for female adolescents and strategies to subsidize vaccine costs are definitely needed to ensure the effectiveness of vaccination campaigns in China.展开更多
Traditional experimental economics methods often consume enormous resources of qualified human participants,and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensiti...Traditional experimental economics methods often consume enormous resources of qualified human participants,and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensitivity analyses.The problem can be solved if computer agents are capable of generating similar behaviors as the given participants in experiments.An experimental economics based analysis method is presented to extract deep information from questionnaire data and emulate any number of participants.Taking the customers’willingness to purchase electric vehicles(EVs)as an example,multi-layer correlation information is extracted from a limited number of questionnaires.Multiagents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires.The authenticity of both the model and the algorithmis validated by comparing the agent-based Monte Carlo simulation results with the questionnaire-based deduction results.With the aid of agent models,the effects of minority agents with specific preferences on the results are also discussed.展开更多
文摘Objective：Few data are available on the epidemiology of HPV and cervical cancer among Chinese women younger than 25 years old.This study aimed to estimate the HPV infection rate and the prevalence of cervical intraepithelial neoplasia（CIN） in women aged 18-25,as well as their knowledge of and attitudes towards HPV vaccination.Methods：A population-based cervical cancer screening study was conducted on women aged 18-25 in Jiangsu province in 2008.Participants provided socio-demographic,reproductive and behavioral information and completed a survey about their knowledge of and attitudes towards HPV vaccination.Women then underwent a gynecologic exam to provide two cervical exfoliated cell samples for high risk HPV DNA testing and liquid-based cytology（LBC） as well as visual inspection with acetic acid（VIA）.Women testing positive for any test were referred to colposcopy and biopsy.The gold standard for diagnosis of cervical lesions was directed or random biopsies.Results：Within the sample of 316 women,3.4% of them were diagnosed with CIN grade 2 or worse lesions and 17.1% were found to be positive for HPV DNA.Among these young women,extra-marital sexual behavior of them（OR=2.0,95%CI：1.1-3.8） or their husbands（OR=2.6,95%：1.4-4.7） were associated with an increased risk of HPV positivity.Although overall HPV awareness was low,after a brief educational intervention,98.4% reported they would electively receive HPV vaccination and would also recommend that their daughters be vaccinated.However,most urban and rural women reported their ideal maximum out-of-pocket contribution for HPV vaccination to be less than 500 RMB and 50-100 RMB,respectively.Conclusion：Our study indicates cervical disease burden is relatively high among sampled Chinese women aged 18-25.Appropriate educational interventions for female adolescents and strategies to subsidize vaccine costs are definitely needed to ensure the effectiveness of vaccination campaigns in China.
基金This work is supported by NSFC-EPSRC Collaborative Project(NSFC-No.51361130153,EPSRC-EP/L001063/1),State Grid Corporation of China.
文摘Traditional experimental economics methods often consume enormous resources of qualified human participants,and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensitivity analyses.The problem can be solved if computer agents are capable of generating similar behaviors as the given participants in experiments.An experimental economics based analysis method is presented to extract deep information from questionnaire data and emulate any number of participants.Taking the customers’willingness to purchase electric vehicles(EVs)as an example,multi-layer correlation information is extracted from a limited number of questionnaires.Multiagents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires.The authenticity of both the model and the algorithmis validated by comparing the agent-based Monte Carlo simulation results with the questionnaire-based deduction results.With the aid of agent models,the effects of minority agents with specific preferences on the results are also discussed.
