基于百度贴吧的HIV高危人群特征分析
|
摘要
对百度贴吧"恐艾吧"中在线高危人群的帖子内容、线上活动时间规律进行了分析,利用LDA话题模型,对比分析了有无HIV感染者参与的主贴讨论的话题之间的差异,使用基于关键词的机器学习方法区分了在"恐艾吧"中发布话题的用户的性取向,计算不同性取向人群中HIV的流行率。研究结果说明,使用在线数据挖掘的技术和方法比传统方法更加高效,可以作为高危人群研究的重要补充。此外,基于机器学习对人群性取向进行智能判别,对于公共卫生管理部门监测疫情在不同人群中的发展状况有重要意义。
The textual content and temporal pattern of online activities for users gathered in the "Fear of HIV Bar" of Baidu Tieba were analyzed. LDA topic model was used to analyze the main differences between topics discussed among HIV-infected people and non-HIV-infected people. A machine learning method based on key words was used to distinguish the sexual orientation of users who start a discussion in "Fear of HIV Bar", and calculate the epidemic rate of HIV among groups with different sexual orientations. The techniques used in this paper can be supplemented as an important tool for high-risk populations research. In addition, this paper can be applied to assess the epidemic of HIV in populations with different sexual orientations by using machine learning technique to intelligently classify the sexual orientation of a user, which is of great significance for the public health agencies.
The textual content and temporal pattern of online activities for users gathered in the "Fear of HIV Bar" of Baidu Tieba were analyzed. LDA topic model was used to analyze the main differences between topics discussed among HIV-infected people and non-HIV-infected people. A machine learning method based on key words was used to distinguish the sexual orientation of users who start a discussion in "Fear of HIV Bar", and calculate the epidemic rate of HIV among groups with different sexual orientations. The techniques used in this paper can be supplemented as an important tool for high-risk populations research. In addition, this paper can be applied to assess the epidemic of HIV in populations with different sexual orientations by using machine learning technique to intelligently classify the sexual orientation of a user, which is of great significance for the public health agencies.
引文
[1]方鹏骞,张佳慧,徐娟.我国艾滋病高危人群定义与范畴的界定[J].中国艾滋病性病,2006, 12(5):470-471.FANG P Q, ZHANG J H, XU J. The definition and category of high-risk group of AIDS(infected with AIDS)in China[J].Chinese Journal of AIDS and STD, 2006,12(5):470-471.
[2] MCLAUGHLIN K. HIV infections are spiking among young gay Chinese[J].Science, 2017, 355(6332):1359.
[3] XU J J, ZHANG M, BROWN K, et al.Syphilis and HIV seroconversion among a12-month prospective cohort of men who have sex with men in Shenyang, China[J].Sexually Transmitted Diseases, 2010,37(7):432.
[4] YANG H, HAO C, HUAN X, et al. HIV incidence and associated factors in a cohort of men who have sex with men in Nanjing, China[J]. Sexually Transmitted Diseases, 2010, 37(4):208-213.
[5] RUAN Y, JIA Y, ZHANG X, et al.Incidence of HIV-1, syphilis, hepatitis B, and hepatitis C virus infections and predictors associated with retention in a 12-month follow-up study among men who have sex with men in Beijing,China[J]. JAIDS Journal of Acquired Immune Deficiency Syndromes, 2009,52(5):604-610.
[6] LIAU A, MILLETT G, MARKS G. Metaanalytic examination of online sex-seekingand sexual risk behavior among men who have sex with men[J]. Sexually Transmitted Diseases, 2006, 33(9):576-584.
[7] SHARP K, EARLE S. Dot.cons:crime,deviance and identity on the internet[M].Cullompton:Willan Publishing, 2003:36-52.
[8] YANHAI W, RAN H, RAN G, et al.Discrimination against people with HIV/AIDS in China[J]. The Equal Rights Review, 2009,4:15-25.
[9] ZHANG B C, CHU Q S. MSM and HIV/AIDS in China[J]. Cell Research, 2005,15(11):858.
[10] ZHANG P, CHI X, WU M, et al. Status and influencing factors of attitude toward LGBT among college students[J]. Chinese Journal of Public Health, 2012, 28:921-923.
[11] BARAL S, SIFAKIS F,CLEGHORN F, et al.Elevated risk for HIV infection among men who have sex with men in low-and middle-income countries 2000-2006:a systematic review[J]. PLoS Medicine,2007, 4(12):e339.
[12] LIU J X, CHOI K. Experiences of social discrimination among men who have sex with men in Shanghai, China[J]. AIDS and Behavior, 2006,10(1):25-33.
[13] LIU H, YANG H, LI X, et al. Men who have sex with men and human immunodeficiency vir us/sexual ly transmitted disease control in China[J].Sexually Transmitted Diseases, 2006,33(2):68-76.
[14] FENG Y, WU Z, DETELS R. Evolution of MSM community and experienced stigma among MSM in Chengdu, China[J]. Journal of Acquired Immune Deficiency Syndromes(1999), 2010, 53(Suppl 7):S98.
[15]WU Z, XU J, LIU E, et al. HIV and syphilis prevalence among men who have sex with men:a cross-sectional survey of 61 cities in China[J]. Clinical Infectious Diseases, 2013, 57(2):298-309.
[16] BEYRER C, SULLIVAN P S, SANCHEZJ, et al. A call to action for comprehensive HIV services for men who have sex with men[J]. The Lancet, 2012, 380(9839):424-438.
[17] CHOI S Y P, HOLROYD E. The influence of power, poverty and agency in the negotiation of condom use for female sex workers in mainland China[J].Culture, Health&Sexuality, 2007,9(5):489-503.
[18]BARAL S, BEYRER C, MUESSIG K,et al. Burden of HIV among female sex workers in low-income and middleincome countries:a systematic review and meta-analysis[J]. The Lancet Infectious Diseases, 2012, 12(7):538-549.
[19] ROCHA L E C, LILJEROS F, HOLME P. Information dynamics shape the sexual networks of Internet-mediated prostitution[J]. Proceedings of the National Academy of Sciences of the United States of America, 201 0,107(13):5706-5711.
[20] LIM S H, GUADAMUZ T E, WEI C, et al.Factors associated with unprotected receptive anal intercourse with internal ejaculation among men who have sex with men in a large Internet sample from Asia[J]. AIDS and Behavior, 2012, 16(7):1979-1987.
[21] LIU C, LU X. Analyzing hidden populations online:topic, emotion, and social network of HIV-related users in the largest Chinese online community[J]. BMC Medical Informatics and Decision Making,2018, 18(1):2.
[22]刘楚楚,吕欣.基于公开数据的特殊人群在线活动特征挖掘[J].大数据,2018,4(5):15-28.LIU C C, LU X. Activity mining of online hidden population based on public data[J]. Big Data Research, 2018, 4(5):15-28.
[23]EICHSTAEDT J C, SMITH R J,MERCHANT R M, et al. Facebook language predicts depression in medicalrecords[J]. Proceedings of the National Academy of Sciences, 2018, 115(44):11203-11208.
[24] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of Machine Learning Research, 2003,3(1):993-1022.
[2] MCLAUGHLIN K. HIV infections are spiking among young gay Chinese[J].Science, 2017, 355(6332):1359.
[3] XU J J, ZHANG M, BROWN K, et al.Syphilis and HIV seroconversion among a12-month prospective cohort of men who have sex with men in Shenyang, China[J].Sexually Transmitted Diseases, 2010,37(7):432.
[4] YANG H, HAO C, HUAN X, et al. HIV incidence and associated factors in a cohort of men who have sex with men in Nanjing, China[J]. Sexually Transmitted Diseases, 2010, 37(4):208-213.
[5] RUAN Y, JIA Y, ZHANG X, et al.Incidence of HIV-1, syphilis, hepatitis B, and hepatitis C virus infections and predictors associated with retention in a 12-month follow-up study among men who have sex with men in Beijing,China[J]. JAIDS Journal of Acquired Immune Deficiency Syndromes, 2009,52(5):604-610.
[6] LIAU A, MILLETT G, MARKS G. Metaanalytic examination of online sex-seekingand sexual risk behavior among men who have sex with men[J]. Sexually Transmitted Diseases, 2006, 33(9):576-584.
[7] SHARP K, EARLE S. Dot.cons:crime,deviance and identity on the internet[M].Cullompton:Willan Publishing, 2003:36-52.
[8] YANHAI W, RAN H, RAN G, et al.Discrimination against people with HIV/AIDS in China[J]. The Equal Rights Review, 2009,4:15-25.
[9] ZHANG B C, CHU Q S. MSM and HIV/AIDS in China[J]. Cell Research, 2005,15(11):858.
[10] ZHANG P, CHI X, WU M, et al. Status and influencing factors of attitude toward LGBT among college students[J]. Chinese Journal of Public Health, 2012, 28:921-923.
[11] BARAL S, SIFAKIS F,CLEGHORN F, et al.Elevated risk for HIV infection among men who have sex with men in low-and middle-income countries 2000-2006:a systematic review[J]. PLoS Medicine,2007, 4(12):e339.
[12] LIU J X, CHOI K. Experiences of social discrimination among men who have sex with men in Shanghai, China[J]. AIDS and Behavior, 2006,10(1):25-33.
[13] LIU H, YANG H, LI X, et al. Men who have sex with men and human immunodeficiency vir us/sexual ly transmitted disease control in China[J].Sexually Transmitted Diseases, 2006,33(2):68-76.
[14] FENG Y, WU Z, DETELS R. Evolution of MSM community and experienced stigma among MSM in Chengdu, China[J]. Journal of Acquired Immune Deficiency Syndromes(1999), 2010, 53(Suppl 7):S98.
[15]WU Z, XU J, LIU E, et al. HIV and syphilis prevalence among men who have sex with men:a cross-sectional survey of 61 cities in China[J]. Clinical Infectious Diseases, 2013, 57(2):298-309.
[16] BEYRER C, SULLIVAN P S, SANCHEZJ, et al. A call to action for comprehensive HIV services for men who have sex with men[J]. The Lancet, 2012, 380(9839):424-438.
[17] CHOI S Y P, HOLROYD E. The influence of power, poverty and agency in the negotiation of condom use for female sex workers in mainland China[J].Culture, Health&Sexuality, 2007,9(5):489-503.
[18]BARAL S, BEYRER C, MUESSIG K,et al. Burden of HIV among female sex workers in low-income and middleincome countries:a systematic review and meta-analysis[J]. The Lancet Infectious Diseases, 2012, 12(7):538-549.
[19] ROCHA L E C, LILJEROS F, HOLME P. Information dynamics shape the sexual networks of Internet-mediated prostitution[J]. Proceedings of the National Academy of Sciences of the United States of America, 201 0,107(13):5706-5711.
[20] LIM S H, GUADAMUZ T E, WEI C, et al.Factors associated with unprotected receptive anal intercourse with internal ejaculation among men who have sex with men in a large Internet sample from Asia[J]. AIDS and Behavior, 2012, 16(7):1979-1987.
[21] LIU C, LU X. Analyzing hidden populations online:topic, emotion, and social network of HIV-related users in the largest Chinese online community[J]. BMC Medical Informatics and Decision Making,2018, 18(1):2.
[22]刘楚楚,吕欣.基于公开数据的特殊人群在线活动特征挖掘[J].大数据,2018,4(5):15-28.LIU C C, LU X. Activity mining of online hidden population based on public data[J]. Big Data Research, 2018, 4(5):15-28.
[23]EICHSTAEDT J C, SMITH R J,MERCHANT R M, et al. Facebook language predicts depression in medicalrecords[J]. Proceedings of the National Academy of Sciences, 2018, 115(44):11203-11208.
[24] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of Machine Learning Research, 2003,3(1):993-1022.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |