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Wang S, Tang H, Zhao D, Cai C, Jin Y, Qin Q, Chen F, Fei L, Zhao H, Yang Z, Lyu F. Survival of People Living with HIV/AIDS from Pre-ART Era to Treat-all Era - China, 1985-2022. China CDC Wkly 2024; 6:1264-1270. [PMID: 39698325 PMCID: PMC11649989 DOI: 10.46234/ccdcw2024.253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 11/20/2024] [Indexed: 12/20/2024] Open
Abstract
Introduction A comprehensive analysis of nationwide survival trends for people living with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS, PLWHA) from the initial reported case to present has not been conducted. This study evaluated the survival outcomes of PLWHA reported in China from 1985 to 2022. Methods We analyzed data from PLWHA recorded in the National HIV/AIDS Comprehensive Response Information Management System from 1985 to 2022. Survival rates were calculated using Kaplan-Meier curves, and factors associated with survival time were analyzed using Cox proportional hazard models. Results Progressive relaxation of antiretroviral therapy initiation criteria led to significant improvements in survival rates across different diagnostic periods in China. The 1-year and 5-year cumulative survival rates increased from 85.2% and 66.1% in the 1985-2003 cohort to 91.1% and 81.4% in the 2016-2022 cohort. Cox proportional hazard analysis revealed elevated mortality risks among males, individuals aged ≥65 years, those with injection drug use or other transmission routes, hospital-tested patients, and those with lower CD4 counts at diagnosis or without treatment. Conclusions Antiretroviral therapy has effectively reduced mortality risk among PLWHA in China. Future efforts should focus on expanding HIV testing to reduce the proportion of late diagnoses with lower CD4 counts and providing targeted, differentiated services for older populations to further decrease mortality risk among PLWHA.
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Affiliation(s)
- Shi Wang
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Houlin Tang
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Decai Zhao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chang Cai
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yichen Jin
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - QianQian Qin
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fangfang Chen
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liping Fei
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hehe Zhao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhongnian Yang
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fan Lyu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Ye J, Lan Y, Wang J, Feng Y, Lin Y, Zhou Y, Liu J, Yuan D, Lu X, Guo W, Zheng M, Song X, Zhou Q, Yang H, Zheng C, Guo Q, Yang X, Yang K, Zhang L, Ge Z, Liu L, Yu F, Han Y, Huang H, Hao M, Chen Q, Ling X, Ruan Y, Dong Y, Zhou C, Liu X, Bai J, Tong X, Gao Y, Yang Z, Wang A, Wei W, Mei F, Qiao R, Luo X, Huang X, Chen J, Hu F, Shen X, Tan W, Tu A, Zhang X, He S, Ning Z, Fan J, Liu C, Xu C, Ren X, Sun Y, Li Y, Liu G, Li X, Li J, Duan J, Huang T, Liu S, Yu G, Wu D, Shao Y, Pan Q, Zhang L, Su B, Wu J, Jiang T, Zhao H, Zhang T, Chen F, Cai K, Hu B, Wang H, Zhao J, Gao B, Sun W, Ning T, Li J, Liang S, Huo Y, Fu G, Chen X, Li F, Xing H, Lu H. Improvement in the 95-95-95 Targets Is Accompanied by a Reduction in Both the Human Immunodeficiency Virus Transmission Rate and Incidence in China. J Infect Dis 2024; 230:1202-1214. [PMID: 39186695 DOI: 10.1093/infdis/jiae302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 06/04/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND In 2016, China has implemented the World Health Organization's "treat all" policy. We aimed to assess the impact of significant improvements in the 95-95-95 targets on population-level human immunodeficiency virus (HIV) transmission dynamics and incidence. METHODS We focused on 3 steps of the HIV care continuum: diagnosed, on antiretroviral therapy, and achieving viral suppression. The molecular transmission clusters were inferred using HIV-TRACE. New HIV infections were estimated using the incidence method in the European Centre for Disease Prevention and Control HIV Modelling Tool. RESULTS Between 2004 and 2023, the national HIV epidemiology database recorded 2.99 billion person-times of HIV tests and identified 1 976 878 new diagnoses. We noted a roughly "inverted-V" curve in the clustering frequency, with the peak recorded in 2014 (67.1% [95% confidence interval, 63.7%-70.5%]), concurrent with a significant improvement in the 95-95-95 targets from 10-13-<71 in 2005 to 84-93-97 in 2022. Furthermore, we observed a parabolic curve for a new infection with the vertex occurring in 2010. CONCLUSIONS In general, it was suggested that the improvements in the 95-95-95 targets were accompanied by a reduction in both the population-level HIV transmission rate and incidence. Thus, China should allocate more effort to the first "95" target to achieve a balanced 95-95-95 target.
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Affiliation(s)
- Jingrong Ye
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yun Lan
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Juan Wang
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yi Feng
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Yi Lin
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Ying Zhou
- Institute of AIDS/STD Control and Prevention, Jiangsu CDC, Nanjing
| | - Jinjin Liu
- Center for Translational Medicine, Affiliated Infectious Diseases Hospital of Zhengzhou University (Henan Infectious Diseases Hospital, The Sixth People's Hospital of Zhengzhou), Zhengzhou
| | - Dan Yuan
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Xinli Lu
- Department of AIDS Research, Hebei Key Laboratory of Pathogen and Epidemiology of Infectious Disease, Hebei CDC, Shijiazhuang
| | - Weigui Guo
- Institute of HIV/AIDS Prevention and Control, Beihai CDC, Beihai
| | - Minna Zheng
- Department of STDs/AIDS Control and Prevention, Tianjin CDC, Tianjin
| | - Xiao Song
- Institute for HIV/AIDS and STD Prevention and Control, Heilongjiang CDC, Harbin
| | - Quanhua Zhou
- Institute of Microbiology, Chongqing CDC, Chongqing
| | - Hong Yang
- STD/AIDS Prevention and Control Institute, Inner Mongolia CDC (Inner Mongolia Academy of Preventive Medicine), Hohhot
| | - Chenli Zheng
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Qi Guo
- Virology Laboratory, Jilin CDC, Changchun
| | - Xiaohui Yang
- Institute for HIV/AIDS and STD Prevention and Control, Fuyang CDC, Fuyang
| | | | - Lincai Zhang
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | - Zhangwen Ge
- Guizhou Provincial People's Hospital, Affiliated Hospital of Guizhou University, Guiyang
| | - Lifeng Liu
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Fengting Yu
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
| | - Yang Han
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing
| | - Huihuang Huang
- Treatment and Research Center for Infectious Diseases, The Fifth Medical Center of People's Liberation Army General Hospital, Beijing
| | - Mingqiang Hao
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Qiang Chen
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Xuemei Ling
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Yuhua Ruan
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Yuan Dong
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Chang Zhou
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Xuangu Liu
- Institute of HIV/AIDS Prevention and Control, Beihai CDC, Beihai
| | - Jianyun Bai
- Department of STDs/AIDS Control and Prevention, Tianjin CDC, Tianjin
| | - Xue Tong
- Institute for HIV/AIDS and STD Prevention and Control, Heilongjiang CDC, Harbin
| | - Ya Gao
- STD/AIDS Prevention and Control Institute, Inner Mongolia CDC (Inner Mongolia Academy of Preventive Medicine), Hohhot
| | - Zhengrong Yang
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Ao Wang
- Virology Laboratory, Jilin CDC, Changchun
| | - Wei Wei
- Institute for HIV/AIDS and STD Prevention and Control, Fuyang CDC, Fuyang
| | | | - Ruijuan Qiao
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | - Xinhua Luo
- Guizhou Provincial People's Hospital, Affiliated Hospital of Guizhou University, Guiyang
| | - Xiaojie Huang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Jing Chen
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Fengyu Hu
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Xin Shen
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Wei Tan
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Aixia Tu
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | - Xinhui Zhang
- Institute for Infectious Disease Prevention and Control, Guizhou CDC, Guiyang
| | - Shufang He
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Zhen Ning
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | | | | | - Conghui Xu
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Xianlong Ren
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yanming Sun
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yang Li
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Guowu Liu
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Xiyao Li
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Jie Li
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Junyi Duan
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Tao Huang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Shuiqing Liu
- Department of Infectious Diseases, Guiyang Public Health Clinical Center, Guiyang
| | - Guolong Yu
- Institute of Pathogenic Microbiology, Guangdong CDC, Guangzhou
| | - Donglin Wu
- Virology Laboratory, Jilin CDC, Changchun
| | - Yiming Shao
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Qichao Pan
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Linglin Zhang
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Bin Su
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Jianjun Wu
- Institute for HIV/AIDS and STD Prevention and Control, Anhui CDC, Hefei
| | - Tianjun Jiang
- Treatment and Research Center for Infectious Diseases, The Fifth Medical Center of People's Liberation Army General Hospital, Beijing
| | - Hongxin Zhao
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
| | - Tong Zhang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Faqing Chen
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | | | - Bing Hu
- Institute for HIV/AIDS and STD Prevention and Control, Fuyang CDC, Fuyang
| | - Hui Wang
- Virology Laboratory, Jilin CDC, Changchun
| | - Jin Zhao
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Baicheng Gao
- STD/AIDS Prevention and Control Institute, Inner Mongolia CDC (Inner Mongolia Academy of Preventive Medicine), Hohhot
| | - Wei Sun
- Institute for HIV/AIDS and STD Prevention and Control, Heilongjiang CDC, Harbin
| | - Tielin Ning
- Department of STDs/AIDS Control and Prevention, Tianjin CDC, Tianjin
| | - Jianjun Li
- Institute of HIV/AIDS Prevention and Control, Guangxi CDC, Nanning
| | - Shu Liang
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Yuqi Huo
- Center for Translational Medicine, Affiliated Infectious Diseases Hospital of Zhengzhou University (Henan Infectious Diseases Hospital, The Sixth People's Hospital of Zhengzhou), Zhengzhou
| | - Gengfeng Fu
- Institute of AIDS/STD Control and Prevention, Jiangsu CDC, Nanjing
| | - Xin Chen
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Feng Li
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Hui Xing
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Hongyan Lu
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
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Yan H, Luo Y, Wu H, Chen M, Li S, Tian Z, Zou G, Tang S, Bible PW, Hao Y, Gu J, Han Z, Liu Y. Evolving molecular HIV clusters revealed genotype-specific dynamics in Guangzhou, China (2008-2020). Int J Infect Dis 2024; 148:107218. [PMID: 39181438 DOI: 10.1016/j.ijid.2024.107218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 08/19/2024] [Accepted: 08/19/2024] [Indexed: 08/27/2024] Open
Abstract
OBJECTIVES This study investigated the genotype-specific dynamics of molecular HIV clusters (MHCs) in Guangzhou, China, aiming to enhance HIV control. METHODS HIV pol sequences from people with HIV (PWH) in Guangzhou (2008-2020) were obtained for genotyping and molecular network creation. MHCs were identified and categorized into three types: emerging, growing, or stable. Clustering rates, proportions of cluster types, and members within each type were calculated and their trends were assessed using joinpoint regression. RESULTS Among 8395 PWH, the most prevalent HIV-1 genotypes were CRF07_BC (39.7%) and CRF01_AE (32.6%). The genotype composition has been stable since 2012 (Ps > 0.05). The overall clustering rate was 43.3%, with significant variations across genotypes (P < 0.001), indicating genotype-specific transmission fitness. Significant declines in overall and genotype-specific clustering rates toward the end of 2020 (Ps < 0.05), potentially offer support for HIV control efforts in reducing local infections. The continuously increasing proportions of stable clusters and the gradually decreasing proportions of emerging and growing clusters (either Ps < 0.05 or Ps > 0.05) suggest a trend toward stable molecular network structure. However, growing clusters exhibited CRF55_01B, CRF07_BC, and CRF59_01B dominance that indicate their priority for interventions. CONCLUSION The evolving MHCs highlight the genotype-specific cluster dynamics, providing fresh insights for enhanced prevention and control strategies.
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Affiliation(s)
- Huanchang Yan
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yefei Luo
- Department of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Hao Wu
- Department of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Mingyu Chen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shunming Li
- Department of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Zhenming Tian
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guanyang Zou
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shixing Tang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Paul W Bible
- Department of Computer Science, DePauw University, Greencastle, Indiana, USA
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhigang Han
- Department of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China; Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yu Liu
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
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Li J, Zhang R, Lan G, Lin M, Tan S, Zhu Q, Chen H, Huang J, Ding D, Li C, Ruan Y, Wang N. The Distribution and Associated Factors of HIV/AIDS Among Youths in Guangxi, China, From 2014 to 2021: Bayesian Spatiotemporal Analysis. JMIR Public Health Surveill 2024; 10:e53361. [PMID: 39331816 PMCID: PMC11452016 DOI: 10.2196/53361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 05/12/2024] [Accepted: 05/24/2024] [Indexed: 09/29/2024] Open
Abstract
Background In recent years, the number of HIV/AIDS cases among youth has increased year by year around the world. A spatial and temporal analysis of these AIDS cases is necessary for the development of youth AIDS prevention and control policies. Objective This study aimed to analyze the spatial and temporal distribution and associated factors of HIV/AIDS among youth in Guangxi as an example. Methods The reported HIV/AIDS cases of youths aged 15-24 years in Guangxi from January 2014 to December 2021 were extracted from the Chinese Comprehensive Response Information Management System of HIV/AIDS. Data on population, economy, and health resources were obtained from the Guangxi Statistical Yearbook. The ArcGIS (version 10.8; ESRI Inc) software was used to describe the spatial distribution of AIDS incidence among youths in Guangxi. A Bayesian spatiotemporal model was used to analyze the distribution and associated factors of HIV/AIDS, such as gross domestic product per capita, population density, number of health technicians, and road mileage per unit area. Results From 2014 to 2021, a total of 4638 cases of HIV/AIDS infection among youths were reported in Guangxi. The reported incidence of HIV/AIDS cases among youths in Guangxi increased from 9.13/100,000 in 2014 to 11.15/100,000 in 2019 and then plummeted to a low of 8.37/100,000 in 2020, followed by a small increase to 9.66/100,000 in 2021. The districts (counties) with relatively high HIV/AIDS prevalence among youths were Xixiangtang, Xingning, Qingxiu, Chengzhong, and Diecai. The reported incidence of HIV/AIDS among youths was negatively significantly associated with road mileage per unit area (km) at a posterior mean of -0.510 (95% CI -0.818 to 0.209). It was positively associated with population density (100 persons) at a posterior mean of 0.025 (95% CI 0.012-0.038), with the number of health technicians (100 persons) having a posterior mean of 0.007 (95% CI 0.004-0.009). Conclusions In Guangxi, current HIV and AIDS prevention and control among young people should focus on areas with a high risk of disease. It is suggested to strengthen the allocation of AIDS health resources and balance urban development and AIDS prevention. In addition, AIDS awareness, detection, and intervention among Guangxi youths need to be strengthened.
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Affiliation(s)
- Juntong Li
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541100, China, 86 07733680605
| | - Runxi Zhang
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541100, China, 86 07733680605
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
| | - Mei Lin
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
| | - Shengkui Tan
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541100, China, 86 07733680605
| | - Qiuying Zhu
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
| | - Huanhuan Chen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
| | - Jinghua Huang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
| | - Dongni Ding
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
| | - Chunying Li
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
| | - Yuhua Ruan
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Na Wang
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541100, China, 86 07733680605
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, 18 Jinzhou Road, Nanning, China
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5
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Jiang H, Zhang X, Zhang C, Lu R, Zhou C, Ouyang L, Xing H, Vermund SH, Shao Y, Ruan Y, Wu G, Qian HZ. Trends of HIV, hepatitis C virus and syphilis seroprevalence among injection and non-injection drug users in southwestern China, 2010-2017. AIDS Care 2024; 36:612-617. [PMID: 33345591 PMCID: PMC10767711 DOI: 10.1080/09540121.2020.1856320] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 11/17/2020] [Indexed: 01/26/2023]
Abstract
Background: The primary risk of HIV transmission in China has shifted from injecting drug use (IDU) to sexual contact since 2006. We evaluated the prevalence trends of HIV, hepatitis C virus (HCV), syphilis, and sexual and drug use behaviors among drug users. Methods: People who use drugs participated in any of four rounds of cross-sectional surveys during 2010-2017 in Chongqing. Participants were tested for HIV, HCV, and syphilis. Questionnaire interviewing was conducted to collect behavioral information. Chi-square and trend tests were employed to assess the changes in diseases and behaviors over time. Results: A total of 8,171 people who inject drugs (PWID) and 5,495 non-injection drug users (NIDU) were included in the analyses. HIV prevalence among PWID in four rounds of the survey in 2010-11, 2012-13, 2014-15, and 2016-17 was 11.5%, 9.7%, 6.5%, and 6.9%, and among NIDU, 2.4%, 1.4%, 2.1% and 2.6%, respectively. HCV prevalence among PWID was 83.5%, 85.2%, 67.1% and 79.7% (P < 0.001), and among NIDU, 22.2%, 10.8%, 13.4% and 14.8%, (P < 0.001). Conclusions: The declining HIV and HCV prevalence among PWID is coincident with declining risky drug use behaviors. Tailored disease prevention and interventions targeting PWID and NIDU are needed.
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Affiliation(s)
- Hehong Jiang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, People’s Republic of China
| | - Xiangjun Zhang
- College of Education, Health, and Human Sciences, University of Tennessee, Knoxville, TN, USA
| | - Chen Zhang
- School of Nursing, University of Rochester, Rochester, NY, USA
| | - Rongrong Lu
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, People’s Republic of China
| | - Chao Zhou
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, People’s Republic of China
| | - Lin Ouyang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, People’s Republic of China
| | - Hui Xing
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People’s Republic of China
| | - Sten H. Vermund
- School of Public Health, Yale University, New Haven, CT, USA
| | - Yiming Shao
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People’s Republic of China
| | - Yuhua Ruan
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People’s Republic of China
| | - Guohui Wu
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, People’s Republic of China
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, CT, USA
- Xiangya Nursing School, Central South University, Changsha, People’s Republic of China
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Zhu Q, Huang J, Wu X, Chen H, Shen Z, Xing H, Shao Y, Ruan Y, Zhang X, Lan G. Virologic failure and all-cause mortality among older people living with HIV/AIDS in South China. AIDS Care 2023; 35:1815-1820. [PMID: 35848493 DOI: 10.1080/09540121.2022.2099513] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 07/04/2022] [Indexed: 10/17/2022]
Abstract
This retrospective cohort study investigated older people living with HIV/AIDS (PLWHA) characteristics, HIV care, and treatment outcomes among all cases between 1996 and 2019 in Guangxi, China. Secondary data were extracted from two national surveillance databases. Older (≥50 years old) and younger (18-49 years old) PLWHA were compared regarding demographic and behavioral characteristics, HIV care, virologic failure, and all-cause mortality. Older PLWHA accounted for 41.6% of all HIV cases (N = 144,952) between 1996 and 2019. The proportion of older cases increased from 10.4% to 64.8% for men and from 2.4% to 66.7% for women between 2002 and 2019. Heterosexual contact accounted for 96.0% of older adults. Moreover, older PLWHA had a lower median CD4 count at the HIV diagnosis (193 vs. 212 cells/μL, p < 0.0001) and were less likely to receive antiretroviral therapy (ART) than younger adults (72.1% vs. 86.1%, p < 0.001). The all-cause mortality risk of older PLWHA was 2.87 times of younger adults [adjusted hazard ratio (AHR) 2.87; 95% confidence interval (CI) 2.76-2.98]. In addition, older PLWHA reported an 18% increase in odds for virologic failure than younger adults (AOR 1.18; 95% CI 1.08-1.30). Therefore, enhanced HIV prevention and care are urgently needed in older people.
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Affiliation(s)
- Qiuying Zhu
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Jinghua Huang
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Xiuling Wu
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Huanhuan Chen
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Zhiyong Shen
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Hui Xing
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Yiming Shao
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Yuhua Ruan
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, People's Republic of China
| | - Xiangjun Zhang
- Department of Public Health, University of Tennessee, Knoxville, TN, USA
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
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Luo T, Lin Z, Wu Z, Cen P, Nong A, Huang R, Che J, Liang F, Yang Y, Liu J, Huang L, Cai J, Ou Y, Ye L, Bao L, Liang B, Liang H. Trends and associated factors of HIV, HCV and syphilis infection among different drug users in the China-Vietnam border area: an 11-year cross-sectional study (2010-2020). BMC Infect Dis 2023; 23:575. [PMID: 37667212 PMCID: PMC10478360 DOI: 10.1186/s12879-023-08239-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 04/10/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Data on recent human immunodeficiency virus (HIV), hepatitis C virus (HCV) and syphilis prevalence among drug users in the Southwest China are sparse despite the high burden of drug use. This study aims at assessing the prevalence trends and related factors of HIV, HCV and syphilis infection among different drug users in the China-Vietnam border area. METHODS A continuous cross-sectional survey was conducted among drug users from 2010 to 2020 in the China-Vietnam border area. Chi-square trend tests were used to assess the trend of HIV, HCV and syphilis prevalence and the proportion for drug type used by drug users. Multivariate logistic regression was used to identify associated factors of HIV, HCV and syphilis infection in different drug users. RESULTS In this study, a total of 28,951 drug users were included, of which 27,893 (96.45%) male, 15,660 (54.09%) aged 13-34 years, 24,543 (84.77%) heroin-only users, 2062 (7.12%) synthetic drug-only (SD-only) users and 2346 (8.10%) poly-drug users. From 2010 to 2020, the proportion of heroin-only users decreased from 87.79% to 75.46%, whereas SD-only users and poly-drug users increased from 5.16% to 16.03%, and from 7.05% to 8.52%, respectively. The prevalence of HIV, HCV, and syphilis during the study period declined from 12.76%, 60.37% and 5.72% to 4.35%, 53.29% and 4.53%, respectively, among heroin-only users and declined from 18.30%, 66.67% and 15.69% to 6.95%, 27.81% and 5.35%, respectively, among poly-drug users; however, the prevalence of HIV and HCV among SD-only users increased from 0.89% and 8.93% to 2.84% and 18.75%, respectively. Having ever injected drugs and needle sharing were common associated factors for both HIV and HCV infection among poly-drug users and heroin-only users. Aged ≥ 35 years old was an associated factor for HIV, HCV and syphilis infection among the SD-only users. Female drug users were at high risk of contracting syphilis among three different drug users. CONCLUSIONS The prevalence of HIV, HCV and syphilis among heroin-only users and poly-drug users decreased during the study period. However, the prevalence of HIV and HCV among SD-only users increased. Comprehensive intervention strategies, particularly focusing on the SD-only users are needed in order to bring down the disease burden in this population in the China-Vietnam border areas.
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Affiliation(s)
- Tong Luo
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Zhaosen Lin
- Qinzhou Center for Disease Control and Prevention, Qinzhou, 535000, Guangxi, China
| | - Zhenxian Wu
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Ping Cen
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Aidan Nong
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Rongye Huang
- Qinzhou Center for Disease Control and Prevention, Qinzhou, 535000, Guangxi, China
| | - Jianhua Che
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Fengfeng Liang
- Qinzhou Center for Disease Control and Prevention, Qinzhou, 535000, Guangxi, China
| | - Yuan Yang
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jie Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Li Huang
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Jie Cai
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Yanyun Ou
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Lijuan Bao
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China.
| | - Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China.
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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Wang N, Zhang R, Ye Z, Lan G, Zhu Q, Chen H, Zhang X, Tan S, Ruan Y, Lin M. Studies on HIV/AIDS Among Students: Bibliometric Analysis. Interact J Med Res 2023; 12:e46042. [PMID: 37540553 PMCID: PMC10439465 DOI: 10.2196/46042] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/08/2023] [Accepted: 05/24/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND In recent years, HIV infection in students has been an ongoing concern worldwide. A large number of articles have been published; however, statistical analysis of the data presented in these publications is lacking. OBJECTIVE This study aimed to detect and analyze emerging trends and collaborative networks in research on HIV/AIDS among students. METHODS Research publications on HIV/AIDS among students from 1985 to 2022 were collected from the Web of Science Core Collection. A topic search was used for this study, and articles in English were included. CiteSpace was used to generate visual networks of countries/regions, institutions, references, and keywords. Citation analysis was used to discover milestones in the field and trace the roots of the knowledge base. Keyword analysis was used to detect research hotspots and predict future trends. RESULTS A total of 2726 publications met the inclusion criteria. Over the past 38 years, the number of publications annually has been on the rise overall. The United States had the highest number of publications (n=1303) and the highest centrality (0.91). The University of California system was the core institution. The main target population of studies on HIV/AIDS among students were medical and university students. These studies focused on students' knowledge, attitudes, risk behaviors, and education about HIV/AIDS. The recent bursting keywords (gay, sexual health, adherence, barriers, mental health, HIV testing, stigma, and antiretroviral therapy) revealed research trends and public interest on this topic. CONCLUSIONS This study identified countries/regions and institutions contributing to the research area of HIV/AIDS among students and revealed research hotspots and emerging trends. The field of research on HIV/AIDS among students was growing rapidly. The United States was at the center, and the University of California system was the core institution. However, academic collaboration should be strengthened. Future research may focus on exploring gay students, sexual health, adherence, barriers, mental health, HIV testing, stigma, and antiretroviral therapy.
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Affiliation(s)
- Na Wang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, China
| | - Runxi Zhang
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, China
| | - Zeyan Ye
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Qiuying Zhu
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Huanhuan Chen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Xiangjun Zhang
- Department of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Shengkui Tan
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, China
| | - Yuhua Ruan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Mei Lin
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
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Yang X, Li L, Zhang N, Hao L, Zhu X, Yu H, Wang G, Kang D. Analysis on epidemiological characters and HIV care continuum of HIV-infected students: a retrospective cohort study in Shandong province, China. BMC Infect Dis 2023; 23:496. [PMID: 37501181 PMCID: PMC10373422 DOI: 10.1186/s12879-023-08476-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUD The proportion of HIV-infected students in China showed an increasing trend. This study aimed to identify the epidemiological characteristics and the HIV care continuum for HIV-infected students in Shandong Province, China. METHODS Case report and follow-up data of HIV-infected students were obtained from the National HIV/AIDS comprehensive response information management system. Logistic regression analyses were used to analyze the associating factors of HIV-infected students accepting CD4 + T cells (CD4) test and antiviral therapy (ART) in 30 days, and ArcGIS software was used for the spatial anlysis. RESULTS From 2017 to 2019, 403 HIV-infected students were reported in Shandong Province. The majority of them were male (99.5%) and transmitted through homosexual sexual activity(92.1%). Most of them lived in Jinan city and Qingdao city. 68.5% (276 cases) accepted CD4 test in 30 days, and 48.6% (196 cases) started ART in 30 days. The heterosexual transmitted cases (AOR = 0.458, 95%CI: 0.210-0.998), patients accepting HIV care in western area (AOR = 0.266,95%CI: 0.147-0.481) were less likely to test CD4 within 30 days; patients aged 23-25 (AOR = 2.316, 95%CI: 1.009-5.316) and patients who had tested CD4 within 30 days (AOR = 4.377; 95%CI: 2.572-7.447) prefered to receive ART within 30 days; patients accepted HIV care in central area (AOR = 0.407; 95%CI: 0.251-0.657) and western area (AOR = 0.508; 95%CI: 0.261-0.989) and patients diagnosed by voluntary blood donation (AOR = 0.352; 95%CI: 0.144-0.864) were less willing to receive ART in 30 days. CONCLUSIONS The HIV care continuum of HIV-infected students in Shandong Province still needed strenghthing. More health education and case management should be done for cases transmitted through heterosexual behavior, accepted HIV care in central and western area, and diagnosed by voluntary blood donation.
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Affiliation(s)
- Xingguang Yang
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Ling Li
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Na Zhang
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Lianzheng Hao
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Xiaoyan Zhu
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Haiying Yu
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China
| | - Guoyong Wang
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
| | - Dianmin Kang
- Shandong Center for Disease Control and Prevention, Jinan, 250014, China
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Ong JJ, Booton RD, Tucker JD, Tang W, Vickerman P, Zhang L, Mitchell KM. Economic evaluation of improving HIV self-testing among MSM in China using a crowdsourced intervention: a cost-effectiveness analysis. AIDS 2023; 37:671-678. [PMID: 36729711 PMCID: PMC10032349 DOI: 10.1097/qad.0000000000003457] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Crowdsourcing, which taps into the wisdom of crowds, has been successful in generating strategies to enhance HIV self-testing (HIVST) uptake. We determined the cost-effectiveness of a crowdsourced intervention (one-off or annual) compared with a control scenario (no crowdsourcing) among MSM living in China. DESIGN Economic evaluation. METHODS We used data from our cluster randomized controlled trial of MSM (NCT02796963). We used a micro-costing approach to measure direct health costs ($USD2017) from a health provider perspective. Using outputs from a dynamic transmission model over a 20-year time horizon, we estimated the incremental cost-effectiveness ratios using cost per disability-adjusted life years (DALYs) averted with 3% discounting. An intervention was considered highly cost-effective if it was less than one gross domestic product (GDP, $8823) per DALY averted. RESULTS Across all cities, the crowdsourced intervention was highly cost-effective compared with the control scenario (incremental cost-effectiveness ratios ranged from $2263 to 6152 per DALY averted for annual crowdsourcing; $171 to 204 per DALY averted for one-off crowdsourcing). The one-off intervention was cost-saving in Guangzhou and Qingdao. Sensitivity analyses confirmed the robustness of the findings; specifically, changes in discounting, costs of the crowdsourced intervention, costs of HIV testing and cost of antiretroviral therapy did not alter our conclusions. CONCLUSION Scaling up a one-off or annual crowdsourced HIV prevention intervention in four cities in China was very likely to be cost-effective. Further research is warranted to evaluate the feasibility of scaling up crowdsourced HIV prevention interventions in other settings and populations.
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Affiliation(s)
- Jason J Ong
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London
| | - Ross D Booton
- Bristol Population Health Science Institute, University of Bristol, Bristol, UK
| | - Joseph D Tucker
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- University of North Carolina Project-China, Guangzhou, China
| | - Weiming Tang
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- University of North Carolina Project-China, Guangzhou, China
| | - Peter Vickerman
- Bristol Population Health Science Institute, University of Bristol, Bristol, UK
| | - Lei Zhang
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Kate M Mitchell
- Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
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Wang N, Lan G, Zhu Q, Chen H, Huang J, Meng Q, Shen Z, Liang S, Wu X, Luo L, Ye R, Chen J, Tan S, Xing H, Shao Y, Ruan Y, Lin M. HIV Epidemiology, Care, and Treatment Outcomes Among Student and Nonstudent Youths Living With HIV in Southwest China Between 1996 and 2019: Historical Cohort Study. JMIR Public Health Surveill 2023; 9:e38881. [PMID: 36826980 PMCID: PMC10007008 DOI: 10.2196/38881] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/13/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Nearly one-third of new HIV infections occurred among youth in 2019 worldwide. Previous studies suggested that student youths living with HIV and nonstudent youths living with HIV might differ in some risk factors, transmission routes, HIV care, and disease outcomes. OBJECTIVE This study aimed to compare the HIV epidemic, disease outcomes, and access to care among student and nonstudent youths living with HIV aged 16 to 25 years in Guangxi, China. METHODS We performed a historical cohort study by extracting data on all HIV or AIDS cases aged 16 to 25 years in Guangxi, China, during 1996-2019 from the Chinese Comprehensive Response Information Management System of HIV or AIDS. We conducted analyses to assess possible differences in demographic and behavioral characteristics, HIV care, and disease outcomes between student and nonstudent youths living with HIV. Multivariate Cox regression was used to assess differences in mortality and virologic failure between student and nonstudent cases. RESULTS A total of 13,839 youths aged 16 to 25 years were infected with HIV during 1996-2019. Among them, 10,202 cases were infected through sexual contact, most of whom were men (n=5507, 54%); 868 (8.5%) were students, and 9334 (91.5%) were not students. The number of student youths living with HIV was lower before 2006 but gradually increased from 2007 to 2019. In contrast, the nonstudent cases increased rapidly in 2005, then gradually declined after 2012. Student cases were mainly infected through homosexual contact (n=614, 70.7% vs n=1447, 15.5%; P<.001), while nonstudent cases were more likely to be infected through heterosexual contact (n=7887, 84.5% vs n=254, 29.3%; P<.001). Moreover, nonstudent cases had a significantly lower CD4 count than student cases at the time of HIV diagnosis (332 vs 362 cells/μL; P<.001). Nonstudents also had a delayed antiretroviral therapy (ART) initiation compared to students (93 days vs 22 days; P<.001). Furthermore, the mortality rate of 0.4 and 1.0 deaths per 100 person-years were recorded for student and nonstudent youths with HIV, respectively. Overall, the mortality risk in nonstudent cases was 2.3 times that of student cases (adjusted hazard ratio [AHR] 2.3, 95% CI 1.2-4.2; P=.008). The virologic failure rate was 2.3 and 2.6 per 100 person-years among student and nonstudent youths living with HIV, respectively. Nonstudent cases had double the risk of virologic failure compared to student cases (AHR 1.9, 95% CI 1.3-2.6; P<.001). CONCLUSIONS Nonstudent youths living with HIV might face a low CD4 count at the time of HIV diagnosis, delayed ART initiation, and increased risk of death and virologic failure. Thus, HIV prevention and interventions should target youths who dropped out of school early to encourage safe sex and HIV screening, remove barriers to HIV care, and promote early ART initiation to curb the HIV epidemic among youths.
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Affiliation(s)
- Na Wang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China.,Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin, China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Qiuying Zhu
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Huanhuan Chen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Jinghua Huang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Qin Meng
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Zhiyong Shen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Shujia Liang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Xiuling Wu
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Liuhong Luo
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Rongyi Ye
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin, China
| | - Jinli Chen
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin, China
| | - Shengkui Tan
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin, China
| | - Hui Xing
- State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yiming Shao
- State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yuhua Ruan
- State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Mei Lin
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
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Shi L, Tang W, Liu X, Hu H, Qiu T, Chen Y, Xu X, Chen Y, Zhang Z, Zhou Y, Lu J, Fu G. Trends of late HIV presentation and advance HIV disease among newly diagnosed HIV cases in Jiangsu, China: A serial cross-sectional study from 2008 to 2020. Front Public Health 2022; 10:1054765. [PMID: 36568791 PMCID: PMC9773559 DOI: 10.3389/fpubh.2022.1054765] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Abstract
Background This study aimed to assess the trends and determine the factors associated with late presentation (LP) and advanced HIV disease (AHD) among newly diagnosed people living with HIV (PLWH) from 2008 to 2020 in Jiangsu, China. Methods Newly diagnosed PLWH registered in the HIV surveillance system from 2008 to 2020 were included. Multivariable logistic regression models were used to analyze the factors associated with LP and AHD. The LP and AHD trends were assessed using Joint-point analysis. Results Of 37,251 newly diagnosed PLWH identified, 30,251(81.2%) patients met the inclusion criteria. Among those, 16,672 (55.1%) were considered LP, and 8,691 (28.7%) had AHD. LP trends steadily increased from 2008 (39.0%) to 2020 (59.4%), but AHD trends decreased visibly from 2016 (32.3%) to 2020 (23.4%). The overall median CD4 trends decreased slowly from 389 to 305 cells/mm3 between 2008 and 2020. Married patients and those older than 35 years were more likely to be LP and have AHD. Patients infected via heterosexual transmission had a higher risk of being classified as AHD (aOR: 1.13, 95%CI: 1.06-1.21) than patients infected via homosexual transmission. Patients that were diagnosed at sexually transmitted infections (STIs) clinics (aOR: 1.10, 95%CI: 1.01-1.20) and in hospitals (aOR: 1.69, 95%CI: 1.59-1.79) were more likely to be classified as LP compared with patients diagnosed at voluntary counseling and testing (VCT) centers. Similar, patients diagnosed at STIs clinics (aOR: 1.23, 95%CI: 1.11-1.36) and hospitals (aOR: 2.27, 95%CI: 2.12-2.43) were more likely to have AHD than patients diagnosed in VCT. Conclusion Our findings indicate an alarming burden of LP in Jiangsu, suggesting the need for more attention toward HIV diagnosis at early CD4 stages. National HIV control programs must strengthen comprehensive interventions for HIV prevention and promote HIV services. Also, strategies for HIV prevention (PrEP and PEP), testing, and treatment must be extended, especially among the general population.
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Affiliation(s)
- Lingen Shi
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China,Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Weiming Tang
- Project-China, University of North Carolina, Guangzhou, China
| | - Xiaoyan Liu
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Haiyang Hu
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Tao Qiu
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Yuheng Chen
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Xiaoqin Xu
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Yunting Chen
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Zhi Zhang
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Ying Zhou
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Jing Lu
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Gengfeng Fu
- Institute for STI and HIV Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China,*Correspondence: Gengfeng Fu
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Liu Y, Hao Y, Xiao J, Wu L, Liang H, Han J, Zhao H. Trends in rates and causes of hospitalization among people living with HIV in the antiretroviral therapy era: A retrospective cohort study in China, 2008-2020. Front Public Health 2022; 10:1000942. [PMID: 36424978 PMCID: PMC9680952 DOI: 10.3389/fpubh.2022.1000942] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/20/2022] [Indexed: 11/09/2022] Open
Abstract
Background The introduction of antiretroviral therapy (ART) has resulted in marked reductions in morbidity among people living with HIV (PLWH). Monitoring the hospitalizations of PLWH is important in evaluating the quality of healthcare and forecasting the co-morbidity pattern. We aimed to describe the trends in the rates and causes of hospitalization among PLWH who initiated ART in an HIV-designated hospital in China. Methods PLWH who initiated ART and were hospitalized in Beijing Ditan Hospital from 2008 to 2020 were selected for the study. Hospitalizations were classified based on AIDS-defining events (ADEs), non-AIDS-defining events (nADEs), and other causes. Hospitalization rates were calculated in terms of person-years, with risk factors determined by Poisson regression. The proportion of hospitalization causes at different ART treatment statuses was also evaluated. Results A total of 9,404 patients (94.7% were male patients) were included, contributing to 49,419 person-years. Overall, 1,551 PLWH were hospitalized for 2,667 hospitalization events, among which 60.4% of hospitalizations were due to ADEs, 11.4% were due to nADEs, and 28.2% were due to other causes. Unadjusted hospitalization rates decreased for all causes and all three diagnostic categories with year. After adjusting for the variables that changed substantially over time, ADE-related [IRR, 1.01 (0.96-1.05)] and nADE-related hospitalization rates [IRR, 0.92 (0.84-1.01)] appeared stable. Hospitalization for ADEs constituted an increasing proportion over time (36.3% in 2008-57.4% in 2020), especially in ART-naive inpatients (43.8% in 2008-83.3% in 2020). The proportion of nADE-related hospitalizations remained low (9.0% in 2008-15.4% in 2020). Hospitalization rate was highest for patients treated with ART during the first 6 months after ART initiation (46.2%) when ADEs were still the leading cause of hospitalizations (30.6%). Older age, non-men who have sex with men transmission, late presenters, HIV viral load (VL) > 50 copies/mL, and CD4 counts ≤ 200 cells/μL were associated with a higher hospitalization risk (all P < 0.05). Conclusion Despite some progress, ADEs remain the most common and serious problem among PLWH in China. In order to avoid deteriorating to the stage of needing hospitalization, more work is needed to diagnose and treat HIV infection earlier.
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Affiliation(s)
- Ying Liu
- National Center for Infectious Diseases, Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yiwei Hao
- Department of Medical Records and Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Jiang Xiao
- National Center for Infectious Diseases, Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Liang Wu
- National Center for Infectious Diseases, Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hongyuan Liang
- National Center for Infectious Diseases, Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Junyan Han
- Biomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China,*Correspondence: Junyan Han
| | - Hongxin Zhao
- National Center for Infectious Diseases, Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China,Hongxin Zhao
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14
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Yang J, Yi M, Qian HZ, Chen Y, Zhou Q, Li X. Post-lockdown Rebounding High-risk Behaviors and HIV Testing Among MSM in China in the Era of the COVID-19 Pandemic. Curr HIV Res 2022; 20:287-295. [PMID: 35702795 DOI: 10.2174/1570162x20666220613120735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/05/2022] [Accepted: 04/27/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Lockdown measures for controlling the COVID-19 epidemic were enforced in China between January and May 2020. Previous studies showed a decrease in HIV high- Risk Behaviors (HRBs) and updated testing during the lockdown, but little is known about these behaviors during the post-lockdown period. OBJECTIVE We conducted quantitative and qualitative assessments of HIV-related behaviors among MSM during the lockdown and post-lockdown periods in Changsha, south-central China. METHODS Face-to-face structured interviews with open-ended questions were conducted using the TimeLine Follow Back (TLFB) method for collecting retrospective data on frequencies of HRBs and testing. McNemar's Chi-square test and Wilcoxon signed-rank test were used to comparing frequencies of behaviors between lockdown (January-May 2020) and post-lockdown periods (June- October 2020). Content analysis was used to analyze qualitative data on the reasons for rebounding HRBs and testing. RESULTS Of 159 MSM participants, 64% had at least one HRB during the post-lockdown period. Men had increased condomless sex (from 24% to 35%), multiple partners (23% to 35%), and substance abuse (16% to 27%) between the two study periods due to the negative emotions and increased use of social networks during the lockdown. HIV testing frequency also increased from 37% to 66% due to resuming routine testing services in the community-based organizations and increased HRBs among MSM during post-lockdown. CONCLUSION After lifting the lockdown measures, MSM had rebounding HRBs and uptake of testing. Effective preventive measures and healthcare services should be available to MSM after the lockdown measures are lifted.
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Affiliation(s)
- Jiahui Yang
- Xiangya School of Nursing, Central South University, Changsha City, Hunan Province, China
| | - Mengyao Yi
- Xiangya School of Nursing, Central South University, Changsha City, Hunan Province, China
| | - Han-Zhu Qian
- Xiangya School of Nursing, Central South University, Changsha City, Hunan Province, China.,School of Public Health, Yale University, New Haven, Connecticut, CT 06520, USA
| | - Yuqing Chen
- Xiangya School of Nursing, Central South University, Changsha City, Hunan Province, China
| | - Qidi Zhou
- Xiangya School of Nursing, Central South University, Changsha City, Hunan Province, China
| | - Xianhong Li
- Xiangya School of Nursing, Central South University, Changsha City, Hunan Province, China
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15
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Liang B, Huang Q, Ou Y, Zhang F, Zhang P, Nong A, Mo S, Wu Z, Xie H, Liang H, Liu J, Jiang J, Liang H, Liu D, Ye L. Trends and associated factors in the uptake of HIV testing among female sex workers in Sino-Vietnam border areas in Guangxi, China: a cross-sectional study. BMC Infect Dis 2022; 22:479. [PMID: 35590271 PMCID: PMC9118634 DOI: 10.1186/s12879-022-07459-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 05/10/2022] [Indexed: 11/17/2022] Open
Abstract
Background HIV testing is a primary prevention strategy against the HIV epidemic and an entry point for HIV/AIDS-related care, prevention and treatment. This study aimed to estimate the uptake of HIV testing among Sino-Vietnam female sex workers (FSWs) in Guangxi, China, from 2016 to 2018, and to identify the factors influencing HIV testing uptake. Methods A cross-sectional survey was conducted among FSWs in two Sino-Vietnam border cities of Guangxi, China. The survey was conducted through face-to-face interview, the data were collected by a structured questionnaire, and HIV-1 infection was detected simultaneously. Logistic regression analysis was used to determine the factors associated with uptake of HIV testing. Results In total, 4565 Chinese local FSWs (CL-FSWs) and 636 cross-border migrant Vietnamese FSWs (CMV-FSWs) were recruited into this study. HIV-1 prevalence in CL-FSWs and CMV-FSWs was 0.70% and 3.14%, respectively. The rate of self-reported uptake of HIV testing in CL-FSWs and CMV-FSWs was 54.56% and 45.44%, respectively. The rates of self-reported uptake of HIV testing declined in both groups from 2016 to 2018. Logistic regression analysis indicated that a number of factors, including socio-demographic characteristics (age < 35 years, higher education, location in Chongzuo City), behaviour factors (having received free AIDS education, condom distribution services and peer education services, high risk sexual behaviours such as inconsistent condom use, having regular commercial sexual partners, etc.), psychological factors (perception of vulnerability to HIV/STIs, perception of risk for HIV infection) were the factors significantly related to uptake of HIV testing. Conclusion In recent years, the rate of HIV testing uptake among Sino-Vietnam border FSWs in Guangxi, China was low, which may be an important reason for the high HIV-1 prevalence among FSWs in the region. A number of factors were identified to be associated with HIV-1 testing uptake, suggesting that HIV testing prevention strategies in this region could include accelerating AIDS education training, raising personal awareness of HIV testing, and improving accessibility of HIV testing. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07459-3.
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Affiliation(s)
- Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Qianni Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yanyun Ou
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Fei Zhang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Peidong Zhang
- Fangchenggang Center for Disease Control and Prevention, Fangchenggang, 538000, Guangxi, China
| | - Aidan Nong
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Shide Mo
- Fangchenggang Center for Disease Control and Prevention, Fangchenggang, 538000, Guangxi, China
| | - Zhenxian Wu
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Hai Xie
- Fangchenggang Center for Disease Control and Prevention, Fangchenggang, 538000, Guangxi, China
| | - Huayue Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jie Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Junjun Jiang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Deping Liu
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China.
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. .,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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16
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Hsieh E, Polo R, Qian HZ, Fuster-RuizdeApodaca MJ, Del Amo J. Intersectionality of stigmas and health-related quality of life in people ageing with HIV in China, Europe, and Latin America. THE LANCET. HEALTHY LONGEVITY 2022; 3:e206-e215. [PMID: 36098292 DOI: 10.1016/s2666-7568(22)00003-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/19/2021] [Accepted: 01/04/2022] [Indexed: 12/24/2022] Open
Abstract
People ageing with HIV face crucial challenges that can compromise their long-term health, one of which is stigma. HIV-related stigma can interact with other coexistent inequities to create a unique oppression system that results in traumatic experiences. This intersectionality of stigmas represents a new inequality that is greater than the sum of the original component inequalities. In this Series paper we review the literature regarding the intersectionality of HIV-related and ageing-related stigma and health-related quality of life among people ageing with HIV in China, Europe, and Latin America-three regions that represent distinct epidemiological and cultural trends in terms of HIV and ageing. Substantial gaps in the literature were identified, in particular a scarcity of data from Latin America. We also found inconsistencies between countries in terms of definitions and reporting practices related to people ageing with HIV. Research that fully considers the intersectional stigmas faced by this vulnerable population will contribute to advancing the United Nations 2030 Agenda for Sustainable Development.
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Affiliation(s)
- Evelyn Hsieh
- Section of Rheumatology, Allergy and Immunology, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA; Veterans Affairs Connecticut Healthcare System, West Haven VA Medical Center, West Haven, CT, USA
| | - Rosa Polo
- HIV, STIs, Viral Hepatitis and Tuberculosis Control Division, Ministry of Health, Madrid, Spain
| | - Han-Zhu Qian
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Maria J Fuster-RuizdeApodaca
- Departamento de Psicología Social y de las Organizaciones, Universidad Nacional de Educación a Distancia, Madrid, Spain; Spanish AIDS Interdisciplinary Society, Madrid, Spain.
| | - Julia Del Amo
- HIV, STIs, Viral Hepatitis and Tuberculosis Control Division, Ministry of Health, Madrid, Spain; Ciber de Enfermedades Infecciosas, Madrid, Spain
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17
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Jia J, Zhu Q, Deng L, Lan G, Johnson A, Chen H, Shen Z, Li J, Xing H, Ruan Y, Li J, Lu H, Vermund SH, Zhu J, Qian HZ. Treatment outcomes of HIV patients with hepatitis B and C virus co-infections in Southwest China: an observational cohort study. Infect Dis Poverty 2022; 11:7. [PMID: 34986877 PMCID: PMC8734096 DOI: 10.1186/s40249-021-00921-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/15/2021] [Indexed: 01/19/2023] Open
Abstract
Background Antiretroviral therapy (ART) has reduced mortality among people living with HIV (PLWH) in China, but co-infections of hepatitis B virus (HBV) and hepatitis C virus (HCV) may individually or jointly reduce the effect of ART. This study aimed to evaluate the impacts of HBV/HCV coinfections on treatment drop-out and mortality among PLWH on ART. Methods A retrospective cohort study analysis of 58 239 people living with HIV (PLWH) who initiated antiretroviral therapy (ART) during 2010–2018 was conducted in Guangxi Province, China. Data were from the observational database of the National Free Antiretroviral Treatment Program. Cox proportional hazard models were fitted to evaluate the effects of baseline infection of HBV or HCV or both on death and treatment attrition among PLWH. Results Our study showed high prevalence of HBV (11.5%), HCV (6.6%) and HBV-HCV (1.5%) co-infections. The overall mortality rate and treatment attrition rate was 2.95 [95% confidence interval (CI) 2.88–3.02] and 5.92 (95% CI 5.82–6.01) per 100 person-years, respectively. Compared with HIV-only patients, HBV-co-infected patients had 42% higher mortality [adjusted hazard ratio (aHR) = 1.42; 95% CI 1.32–1.54], HCV-co-infected patients had 65% higher mortality (aHR = 1.65; 95% CI 1.47–1.86), and patients with both HCV and HBV co-infections had 123% higher mortality (aHR = 2.23; 95% CI 1.87–2.66). Conclusions HBV and HCV coinfection may have an additive effect on increasing the risk of all-cause death among PLWH who are on ART. It is suggested that there is need for primary prevention and access to effective hepatitis treatment for PLWH. Graphical Abstract ![]()
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Affiliation(s)
- Jingya Jia
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China.,Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Qiuying Zhu
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Luojia Deng
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | | | - Huanhuan Chen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Zhiyong Shen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Jianjun Li
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Hui Xing
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China.,State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yuhua Ruan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China.,State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Jing Li
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China.,Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Lu
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China.,Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Sten H Vermund
- School of Public Health, Yale University, New Haven, CT, USA
| | - Jinhui Zhu
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China.
| | - Han-Zhu Qian
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China. .,School of Public Health, Yale University, New Haven, CT, USA.
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18
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Liu Z, Chen Y, Yao T, Zhang T, Song D, Liu Y, Yu M, Xu J, Li Z, Yang J, Cui Z, Li C, Ma J. Factors related to HIV testing frequency in MSM based on the 2011-2018 survey in Tianjin, China: a hint for risk reduction strategy. BMC Public Health 2021; 21:1900. [PMID: 34670542 PMCID: PMC8527634 DOI: 10.1186/s12889-021-11948-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 10/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In recent years, HIV testing has become one of the effective strategies to reduce the risk of the infection. Frequent quarterly HIV testing can be cost effective. Therefore, an in-depth study of factors related to the testing behavior of men who have sex with men (MSM) were analyzed to optimize intervention strategies. METHODS From March 2011 to October 2018, the project was implemented in a Tianjin (China) bathhouse, and 5165 MSM were surveyed using snowball sampling. Factors related to HIV testing behavior were analyzed by ordinal logistic regression analysis after grouping according to testing frequency, and comprehensive analysis was performed. RESULTS The multivariate logistic analysis showed that 6 variables including young MSM (OR = 0.67, 95% CI: 0.49-0.92, p = 0.01), low-educated MSM (OR = 0.60, 95% CI: 0.48-0.77, p < 0.0001), low HIV/AIDS knowledge (95% CI: 0.57-0.83, p < 0.0001), marital status (OR = 1.30, 95% CI: 1.07-1.57, p = 0.007), acceptance of condom promotion and distribution (OR = 14.52, 95% CI: 12.04-17.51, p < 0.0001), and frequency of condom use (p < 0.05) could link to HIV testing behaviors. CONCLUSIONS In order to achieve the 95-95-95 goal, target publicity, HIV/AIDS education and promotion of HIV self-testing kits should be carried out to encourage frequent HIV testing among MSM who are young (especially students), married to women, poorly educated and who are reluctant to always use condoms.
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Affiliation(s)
- Zhongquan Liu
- STD & AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Yang Chen
- The Second People's Hospital of Guiyang, Guiyang, Guizhou, China
| | - Tingting Yao
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tiantian Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Desheng Song
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yuanyuan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Maohe Yu
- STD & AIDS Control and Prevention Section, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Jie Xu
- National Center for AIDS/STD Control and Prevention, Beijing, China
| | - Zhijun Li
- GAP Program Office of US CDC, Atlanta, GA, USA
| | - Jie Yang
- Tianjin Shenlan Public Health Counseling Service Center, Tianjin, China
| | - Zhuang Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Changping Li
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Jun Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China
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19
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Hu QH, Qian HZ, Li JM, Leuba SI, Chu ZX, Turner D, Ding HB, Jiang YJ, Vermund SH, Xu JJ, Shang H. Assisted Partner Notification and Uptake of HIV Testing among Men Who Have Sex with Men: A Randomized Controlled Trial in China. LANCET REGIONAL HEALTH-WESTERN PACIFIC 2021; 12:100171. [PMID: 34527967 PMCID: PMC8356101 DOI: 10.1016/j.lanwpc.2021.100171] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 03/10/2021] [Accepted: 05/09/2021] [Indexed: 01/04/2023]
Abstract
Background Assisted partner notification (PN) is an effective approach for increasing HIV testing among heterosexual partners. There is sparse evidence on its effect among sexual partners of men who have sex with men (MSM). Methods A randomized controlled trial was conducted to compare the effect of assisted PN and passive PN interventions on uptake of HIV testing among male and female sexual partners of newly HIV-diagnosed MSM. In the passive PN group, participants were encouraged to disclose their HIV status and refer and persuade sexual partners to access HIV testing services (HTS). In the assisted PN group, participants were further provided with HIV self-testing kits for sexual partners to take a test at home or allow a community health worker from MSM-serving community-based organization (CBO) to anonymously refer and persuade their sexual partners to access HTS. The primary outcome was the proportion of index cases who had any sexual partner accessing HTS within four months after randomization. This trial is registered with chictr.org.cn, ChiCTR1800017813. Findings Between August 2017 and January 2019, 187 MSM newly diagnosed with HIV in a large city Shenyang in northern China were enrolled in the study and randomly assigned to either passive PN (n=90) or assisted PN (n=97) study groups. The proportion of index cases who disclosed their HIV status to any sexual partners within three months of randomization was similar between passive PN (57%, 95% confidence interval [CI]: 46-67%) and assisted PN groups (58%, 95% CI: 48-68%). During four months of follow-up, the number of sexual partners named, referred to HTS, tested and testing positive per index case was 3•2, 0•7, 0•2 and 0•03 in the passive PN group, and 4•0, 1•0, 0•5 and 0•10 in the assisted PN group. Thirty-five percent of index cases in the assisted PN group had any sexual partners accessing HIV testing compared to 17% in the passive PN group (P = 0•004); 49% sexual partners who were disclosed by index cases in the assisted PN group had access HTS compared to 28% in the passive PN group (P = 0•007). Interpretation The assisted PN strategy incorporating HIV self-testing and CBO outreach can increase uptake of HIV testing among sexual partners of MSM who were recently diagnosed with HIV. Funding National Science and Technology Major Project of China, National Natural Science Foundation of China, and Project for Overseas Visiting Research of Liaoning Province.
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Affiliation(s)
- Qing-Hai Hu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Jia-Ming Li
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Sequoia I Leuba
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Zhen-Xing Chu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - DeAnne Turner
- Center for Interdisciplinary Research on AIDS (CIRA), Yale University, New Haven, Connecticut, USA
| | - Hai-Bo Ding
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yong-Jun Jiang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Sten H Vermund
- School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Jun-Jie Xu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Hong Shang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
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20
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Lv Y, Li G, Hu M, Xu C, Lu H, Chen L, Xing Y, Liang S, Ma Y, Liang S, Zhuang M, Li Y, Huang C, Bai Y, Jiang Y, Zhang L. Anonymous Linkage Between College Students and Human Immunodeficiency Virus (HIV) Facilities: Systematic Evaluation of Urine Self-Collection for HIV Testing Initiative in China. Clin Infect Dis 2021; 73:e1108-e1115. [PMID: 33294913 DOI: 10.1093/cid/ciaa1816] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Identifying young individuals living with human immunodeficiency virus (HIV) who are unaware of their status is a major challenge for HIV control in China. To address this, an innovative, anonymous vending machine-based urine self-collection for HIV testing (USCT) program was implemented in 2016 in colleges across China. METHODS From June 2016 to December 2019, 146 vending machines stocked with urine self-collection kits were distributed on 73 college campuses across 11 provinces of China. Urine samples were collected, delivered, and tested in an anonymous manner. We analyzed the returned rate, reactive rate (likelihood of HIV screening positive), testing effectiveness (the annual number of college students living with HIV screened by USCT or other testing methods), and the spatiotemporal relationship between USCT usage and student activity per college generated from the usage of a social networking application. RESULTS Among the 5178 kits sold, 3109 (60%) samples were returned; of these, 2933 (94%) were eligible for testing. The HIV reactive rate was 2.3% (66 of 2933). The average effectiveness ratio among the 34 participating Beijing colleges was 0.39 (12:31) between USCT and conventional testing methods. A strong spatiotemporal correlation between USCT numbers and online student activity was observed during school semesters in Beijing. CONCLUSIONS USCT is a powerful complement to current interventions that target at-risk students and promote HIV testing. The social networking-based evaluation framework can be a guide in prioritizing at-risk target populations.
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Affiliation(s)
- Yi Lv
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guanqiao Li
- School of Medicine and Vanke School of Public Health, Tsinghua University Beijing, China.,Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Maogui Hu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Chengdong Xu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Hongyan Lu
- Beijing Center for Disease Prevention and Control, Beijing Center for Preventive Medical Research, Beijing, China
| | - Lu Chen
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yan Xing
- Haidian District Center for Disease Prevention and Control, Beijing, China
| | - Shu Liang
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yanling Ma
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Shujia Liang
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China
| | - Minghua Zhuang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Yi Li
- Heilongjiang Center for Disease Control and Prevention, Harbin, China
| | - Chun Huang
- Beijing Center for Disease Prevention and Control, Beijing Center for Preventive Medical Research, Beijing, China
| | - Yaqing Bai
- Alibaba Group Holding Limited, Beijing, China
| | - Yan Jiang
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Linqi Zhang
- School of Medicine and Vanke School of Public Health, Tsinghua University Beijing, China
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21
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Liu Y, Ji W, Yin Y, Yang Z, Yang S, Zhou C, Cai Y, Wang K, Peng Z, He D. An analysis on the trend of AIDS/HIV incidence in Chongqing and Shenzhen, China from 2005-2015 based on Age-Period-Cohort model. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2021; 18:6961-6977. [PMID: 34517566 DOI: 10.3934/mbe.2021346] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
This paper elucidates that the AIDS/HIV incidence rate differences exist among different population and regions, especially among the old and college students. Due to the effect of age, the AIDS incidence peak in males aged 20-35 years and 50 years old both in Chongqing and Shenzhen, and the incidence rate and increasing spread in males was higher than that of females under period effect. In the local population in Chongqing and Shenzhen, the incidence rate of males in over 40, below and in the whole age groups are predicted to increase sharply in the future six years, while in females, the incidence rates among over 40-year-old and the whole age groups were predicted to increase as well. The incidence rate among homosexually transmitted patients reaches the peak in the 20-35, the incidence rate of patients transmitted through heterosexual reaches the peak around 50-year-old. Under the effect of period, AIDS/HIV incidence rate of patients transmitted through sexual routes showed an upward trend both in Chongqing and Shenzhen. The incidence rate of patients aged between 41 and 70 years old presents with an upward trend in the future six years. The results show great differences exist in the AIDS/HIV incidence between males and females, therefore it is necessary to take specific measures respectively.
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Affiliation(s)
- Ying Liu
- School of Mathematics and Statistics, Huaiyin Normal University, Huaian, 223300, China
| | - Weidong Ji
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Yi Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhengrong Yang
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Shu Yang
- Chengdu university of traditional Chinese medicine, Chengdu 610075, China
| | - Chao Zhou
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - Yongli Cai
- School of Mathematics and Statistics, Huaiyin Normal University, Huaian, 223300, China
| | - Kai Wang
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China
| | - Zhihang Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Daihai He
- Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong SAR, China
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22
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Shi Y, Qiu J, Yang Q, Chen T, Lu Y, Chen S, Fan X, Lin Z, Han Z, Lu J, Qian H, Gu J, Xu DR, Gu Y, Hao C. Increasing the HIV testing among MSM through HIV test result exchange mechanism: study protocol for a cluster randomized controlled trial. BMC Infect Dis 2021; 21:764. [PMID: 34362323 PMCID: PMC8343929 DOI: 10.1186/s12879-021-06484-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/28/2021] [Indexed: 11/17/2022] Open
Abstract
Background HIV testing is an essential gateway to HIV prevention and treatment thus controlling the HIV epidemic. More innovative interventions are needed to increase HIV testing among men who have sex with men (MSM) since their testing rate is still low. We proposed an online HIV test results exchange mechanism whereby the one without a certified online HIV report will be asked to test HIV for exchanging HIV report with others. The exchange mechanism is developed as an extension to the existing online HIV testing service system. Through the extended system, MSM can obtain certified online HIV reports and exchange their reports with friends via WeChat. This study aims to assess effectiveness of the exchange mechanism to increase the HIV testing rate among MSM. Methods This study will use a cluster randomized controlled trial (RCT) design. Participants are recruited based on the unit of individual social network, the sender and the receivers of the HIV report. An individual social network is composed of one sender (ego) and one or more receivers (alters). In this study, MSM in an HIV testing clinic are recruited as potential egos and forwarded online reports to their WeChat friends voluntarily. Friends are invited to participate by report links and become alters. Ego and alters serve as a cluster and are randomized to the group using the certified online HIV report with exchange mechanism (intervention group) or without exchange mechanism (control group). Alters are the intervention targeting participants. The primary outcome is HIV testing rate. Other outcomes are sexual transmitted infections, sexual behaviors, HIV testing norms, stigma, risk perception and HIV report delivery. The outcomes will be assessed at baseline and follow-up questionnaires. Analysis will be according to intention to treat approach and using mixed-effect models with networks and individuals as random effects. Discussion This is the first study to evaluate the effectiveness of an HIV test result exchange mechanism to increase the HIV testing among MSM. This assessment of the intervention will also provide scientific evidence on other potential effects. Findings from this study will yield insights for sustainability driven by communities' intrinsic motivation. Trail registration: ClinicalTrials.gov NCT03984136. Registered 12 June 2019. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-021-06484-y.
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Affiliation(s)
- Yuning Shi
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Jialing Qiu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Qingling Yang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Tailin Chen
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Yongheng Lu
- Kangyuan Community Support Center of Yuexiu District, Guangzhou, 510000, Guangdong, P. R. China
| | - Sha Chen
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Xiaoru Fan
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Zhiye Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Zhigang Han
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, P. R. China
| | - Jie Lu
- Kangyuan Community Support Center of Yuexiu District, Guangzhou, 510000, Guangdong, P. R. China
| | - Haobing Qian
- Department of Health Management and Policy, College of Public Health, The University of Iowa, Iowa, IA, USA
| | - Jing Gu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China
| | - Dong Roman Xu
- Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, 510000, Guangdong, P. R. China.,ACACIA Labs, SMU Institute for Global Health and Dermatology Hospital of Southern Medical University, Guangzhou, 510000, Guangdong, P. R. China
| | - Yuzhou Gu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, P. R. China.
| | - Chun Hao
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China. .,Sun Yat-Sen Global Health Institute, Institute of State Governance, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, P. R. China.
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23
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Lu R, Zhang X, Zhou C, Zhang W, Ouyang L, Xing H, Shao Y, Ruan Y, Wu G. Trends of Human Immunodeficiency Virus, Syphilis, and Hepatitis C Infections Among Men Who Have Sex With Men in Chongqing, China: A Serial Cross-sectional Survey From 2011 to 2018. Sex Transm Dis 2021; 47:491-498. [PMID: 32541307 PMCID: PMC7294744 DOI: 10.1097/olq.0000000000001173] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Human immunodeficiency virus (HIV) prevalence and incidence rates have expeditiously increased among Chongqing men who have sex with men (MSM) over the past decade. This study investigated the trends of HIV, syphilis, and hepatitis C virus (HCV) infections and behavioral attributes of Chongqing MSM. METHODS Chongqing MSM who were 18 years or older were recruited annually from 2011 to 2018. Interviewer-administered paper-pencil interviews were used to collect demographics, behavioral information, and sexually transmitted diseases history. Blood samples were collected for the tests of HIV, syphilis, and HCV. A stepwise regression model was conducted to assess the associations of demographics, behaviors, and syphilis and HCV infections with HIV infection. RESULTS A total of 4900 MSM participated in the study. The average HIV, syphilis, and HCV prevalence over 8 years were 15.4%, 4.0%, and 0.3%, respectively. The HIV prevalence ranged from 13.5% to 16.4%. Syphilis and HCV were generally low and stable across years. An increased proportion of participants received HIV counseling, testing, and condoms. Multivariable regression indicated that HIV-positive MSM were more likely to be older, married, and less educated, and they were more likely to perform unprotected anal intercourse with male partners in the past 6 months, have syphilis, and less likely to receive HIV counseling, testing, condoms, and peer education in the past year. CONCLUSIONS The HIV counseling, testing, and peer education programs showed a negative association with HIV-positive status among Chongqing MSM. The HIV prevalence is still high. More programs must be implemented to effectively curb the HIV epidemic.
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Affiliation(s)
- Rongrong Lu
- From the Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Xiangjun Zhang
- School of Community Health Sciences, University of Nevada, Reno, NV
| | - Chao Zhou
- From the Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Wei Zhang
- From the Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Lin Ouyang
- From the Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Hui Xing
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yiming Shao
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yuhua Ruan
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Guohui Wu
- From the Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
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24
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Liu XJ, McGoogan JM, Wu ZY. Human immunodeficiency virus/acquired immunodeficiency syndrome prevalence, incidence, and mortality in China, 1990 to 2017: a secondary analysis of the Global Burden of Disease Study 2017 data. Chin Med J (Engl) 2021; 134:1175-1180. [PMID: 33883410 PMCID: PMC8143770 DOI: 10.1097/cm9.0000000000001447] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Despite almost two decades of well-funded and comprehensive response efforts by the Chinese Government, human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) remains a major problem in China. Yet, few studies have recently examined long-term trends in HIV/AIDS prevalence, incidence, and mortality at the national level. This study aimed to determine the prevalence, incidence, and mortality trends for HIV/AIDS over the past 28 years in China. METHODS We conducted a descriptive, epidemiological, secondary analysis of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 data. To evaluate trends in prevalence, incidence, and mortality over the study period from 1990 to 2017, we calculated values for annual percentage change (APC) and corresponding 95% confidence intervals (CIs) using joinpoint regression analysis. RESULTS A significant increase in HIV/AIDS prevalence was observed for 1990 to 2009 (APC: 10.7; 95% CI: 10.4, 11.0; P < 0.001), and then remained stable for 2009 to 2017 (APC: 0.7; 95% CI: -0.3, 1.7; P = 0.1). A significant increase in HIV incidence was also observed for 1990 to 2005 (APC: 13.0; 95% CI: 12.6, 13.4; P < 0.001), and then a significant decrease was detected for 2005 to 2017 (APC: -6.5; 95% CI: -7.0, -6.1; P < 0.001). A significant increase in AIDS-related mortality rate was detected for 1990 to 2004 (APC: 10.3; 95% CI: 9.3, 11.3; P < 0.001), followed by a period of stability for 2004 to 2013 (APC: 1.3; 95% CI: -0.7, 3.3; P = 0.2), and then another significant increase for 2013 to 2017 (APC: 15.3; 95% CI: 8.7, 22.2; P < 0.001). CONCLUSIONS Although prevalence has stabilized and incidence has declined, AIDS-related mortality has risen sharply in recent years. These findings suggest more must be done to bring people into treatment earlier, retain them in treatment more effectively, actively seek to reenter them in treatment if they dropout, and improve the quality of treatment and care regimens.
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Affiliation(s)
- Xue-Jiao Liu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jennifer M. McGoogan
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zun-You Wu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Fielding School of Public Health, University of California, Los Angeles, CA, USA
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25
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Ye R, Liu C, Tan S, Li J, Simoni JM, Turner D, Nelson LE, Vermund SH, Wang N, Qian HZ. Factors associated with past HIV testing among men who have sex with men attending university in China: a cross-sectional study. Sex Health 2021; 18:58-63. [PMID: 33639685 PMCID: PMC10767712 DOI: 10.1071/sh20088] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 08/31/2020] [Indexed: 01/19/2023]
Abstract
Background HIV prevalence has been rapidly increasing among men who have sex with men (MSM) attending university in China, but HIV testing rates remain suboptimal. The factors associated with past HIV testing in this population in Beijing, China, were investigated. METHODS This study used data from the baseline survey of an HIV intervention clinical trial among MSM who did not have a history of a positive HIV diagnosis. This analysis focused on the HIV testing experience in a subgroup of university student MSM participants. Log-binomial models were used to evaluate factors associated with past HIV testing. RESULTS Of 375 university student MSM, the median age was 22 years; 89.3% were Han ethnic. Approximately half (50.4%, n = 189) had ever taken an HIV test before the survey. In a multivariable log-binomial model, older age (adjusted prevalence ratio (APR), 1.04; 95% confidence interval (CI), 1.02-1.06), had first sexual intercourse at age <18 years (APR, 1.35; 95% CI, 1.08-1.45) and knew someone living with HIV (APR, 1.33; 95% CI, 1.07-1.61) were associated with a higher likelihood of past testing. Self-reported barriers to taking a test included perceived low HIV risk, fear of a positive diagnosis, did not know where to get tested and fear of discrimination. Facilitators included anonymity in taking a test, confidentiality of testing results and availability of home-based and rapid testing. CONCLUSIONS The HIV testing rate among university student MSM was low. Interventions should be implemented to address structural, institutional and individual barriers to HIV testing in this vulnerable population.
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Affiliation(s)
- Rongyi Ye
- School of Public Health, Guilin Medical University, Guilin, China
| | - Chunfang Liu
- School of Public Health, Baotou Medical University, Baotou, China
| | - Shengkui Tan
- School of Public Health, Guilin Medical University, Guilin, China
| | - Juntong Li
- School of Public Health, Guilin Medical University, Guilin, China
| | - Jane M Simoni
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - DeAnne Turner
- School of Public Health, Yale University, New Haven, CT, USA
| | | | - Sten H Vermund
- School of Public Health, Yale University, New Haven, CT, USA
| | - Na Wang
- School of Public Health, Guilin Medical University, Guilin, China; and Corresponding authors. ;
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, CT, USA; and Xiangya Nursing School, Central South University, Changsha, China; and Corresponding authors. ;
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26
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Zhang C, Koniak-Griffin D, Qian HZ, Goldsamt LA, Wang H, Brecht ML, Li X. Impact of providing free HIV self-testing kits on frequency of testing among men who have sex with men and their sexual partners in China: A randomized controlled trial. PLoS Med 2020; 17:e1003365. [PMID: 33035206 PMCID: PMC7546488 DOI: 10.1371/journal.pmed.1003365] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 08/31/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND The HIV epidemic is rapidly growing among men who have sex with men (MSM) in China, yet HIV testing remains suboptimal. We aimed to determine the impact of HIV self-testing (HIVST) interventions on frequency of HIV testing among Chinese MSM and their sexual partners. METHODS AND FINDINGS This randomized controlled trial was conducted in 4 cities in Hunan Province, China. Sexually active and HIV-negative MSM were recruited from communities and randomly assigned (1:1) to intervention or control arms. Participants in the control arm had access to site-based HIV testing (SBHT); those in the intervention arm were provided with 2 free finger-prick-based HIVST kits at enrollment and could receive 2 to 4 kits delivered through express mail every 3 months for 1 year in addition to SBHT. They were encouraged to distribute HIVST kits to their sexual partners. The primary outcome was the number of HIV tests taken by MSM participants, and the secondary outcome was the number of HIV tests taken by their sexual partners during 12 months of follow-up. The effect size for the primary and secondary outcomes was evaluated as the standardized mean difference (SMD) in testing frequency between intervention and control arms. Between April 14, 2018, and June 30, 2018, 230 MSM were recruited. Mean age was 29 years; 77% attended college; 75% were single. The analysis population who completed at least one follow-up questionnaire included 110 (93%, 110/118) in the intervention and 106 (95%, 106/112) in the control arm. The average frequency of HIV tests per participant in the intervention arm (3.75) was higher than that in the control arm (1.80; SMD 1.26; 95% CI 0.97-1.55; P < 0.001). This difference was mainly due to the difference in HIVST between the 2 arms (intervention 2.18 versus control 0.41; SMD 1.30; 95% CI 1.01-1.59; P < 0.001), whereas the average frequency of SBHT was comparable (1.57 versus 1.40, SMD 0.14; 95% CI -0.13 to 0.40; P = 0.519). The average frequency of HIV tests among sexual partners of each participant was higher in intervention than control arm (2.65 versus 1.31; SMD 0.64; 95% CI 0.36-0.92; P < 0.001), and this difference was also due to the difference in HIVST between the 2 arms (intervention 1.41 versus control 0.36; SMD 0.75; 95% CI 0.47-1.04; P < 0.001) but not SBHT (1.24 versus 0.96; SMD 0.23; 95% CI -0.05 to 0.50; P = 0.055). Zero-inflated Poisson regression analyses showed that the likelihood of taking HIV testing among intervention participants were 2.1 times greater than that of control participants (adjusted rate ratio [RR] 2.10; 95% CI 1.75-2.53, P < 0.001), and their sexual partners were 1.55 times more likely to take HIV tests in the intervention arm compared with the control arm (1.55, 1.23-1.95, P < 0.001). During the study period, 3 participants in the intervention arm and none in the control arm tested HIV positive, and 8 sexual partners of intervention arm participants also tested positive. No other adverse events were reported. Limitations in this study included the data on number of SBHT were solely based on self-report by the participants, but self-reported number of HIVST in the intervention arm was validated; the number of partner HIV testing was indirectly reported by participants because of difficulties in accessing each of their partners. CONCLUSIONS In this study, we found that providing free HIVST kits significantly increased testing frequency among Chinese MSM and effectively enlarged HIV testing coverage by enhancing partner HIV testing through distribution of kits within their sexual networks. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR1800015584.
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Affiliation(s)
- Ci Zhang
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China
| | - Deborah Koniak-Griffin
- School of Nursing, University of California at Los Angeles, Los Angeles, California, United States of America
| | - Han-Zhu Qian
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China
- School of Public Health, Yale University, New Haven, Connecticut, United States of America
| | - Lloyd A. Goldsamt
- Rory Meyers College of Nursing, New York University, New York, New York, United States of America
| | - Honghong Wang
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China
| | - Mary-Lynn Brecht
- School of Nursing, University of California at Los Angeles, Los Angeles, California, United States of America
| | - Xianhong Li
- Xiangya School of Nursing, Central South University, Changsha, Hunan Province, China
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27
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Liu G, Zhang H, Zhu WB, Peng YQ, Ding R, Fan ML, Fan LQ, Li WN. HIV prevalence among 338,432 infertile individuals in Hunan, China, 2012-2018: A cross-sectional study. PLoS One 2020; 15:e0238564. [PMID: 32911499 PMCID: PMC7482923 DOI: 10.1371/journal.pone.0238564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 08/19/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The prevalence of human immunodeficiency virus (HIV) varies markedly among different risk groups in China, spreading fromhigh-risk populations to the general population. Indeed, China is in a critical period of HIV/acquired immunodeficiency syndrome (AIDS) prevention and control; however, data regarding HIV testing, infection and coinfection among infertile couples are lacking. This study aimed to estimate the HIV/AIDS prevalence to identify risk factors among infertile couples in Hunan, China. METHODS A cross-sectional hospital-based study was conducted to evaluate the prevalence of HIV/other infections (hepatitis B virus (HBV), hepatitis C virus (HCV), syphilis, and Chlamydia trachomatis, Neisseria gonorrhoeae, and Mycoplasma genitalium (MG) infections) among 338,432 infertile individuals in Hunan, China, from 2012 to 2018. We calculated linear trends in prevalence using bivariate linear regression. RESULTS The overall prevalence rates of HIV, chlamydia, gonorrhea, MG, syphilis, and HBV and HCV antibody positivity in this study were 0.04%, 1.73%, 0.05%, 2.60%, 2.15%, 12.01% and 0.56%, respectively. The predominant infection was HBV, followed by MG, syphilis, and chlamydia. Only 1.13% of the participants (382/338432) reported sexually transmitted disease (STD) signs and symptoms suggesting genital tract infection. However, from 2012-2018, the variation in HIV prevalence was not significant (β = 0.000, PTREND = 0.907). The characteristics of the HIV-infected infertile population have not shifted dramatically, with women accounting for 32.56% of HIV cases in China. Overall, 87.60% of HIV-infected individuals have a relatively low education. In total, 37.98% of HIV-positive patients engage in high-risk behaviors. CONCLUSIONS This study expands upon existing knowledge of HIV prevalence in the infertile Chinese population. However, much work is needed to achieve popularization of prevention knowledge and change concept. Routine HIV screening is urgently needed for all adults with high-risk behaviors.
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Affiliation(s)
- Gang Liu
- The Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Huan Zhang
- Reproductive and Genetic Hospital of CITIC Xiangya, Changsha, Hunan, China.,Clinical Research Center For Reproduction and Genetics In Hunan Province, Changsha, China
| | - Wen-Bing Zhu
- The Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Yang-Qin Peng
- Reproductive and Genetic Hospital of CITIC Xiangya, Changsha, Hunan, China.,Clinical Research Center For Reproduction and Genetics In Hunan Province, Changsha, China
| | - Rui Ding
- The Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Meng-Lin Fan
- Reproductive and Genetic Hospital of CITIC Xiangya, Changsha, Hunan, China.,Clinical Research Center For Reproduction and Genetics In Hunan Province, Changsha, China
| | - Li-Qing Fan
- The Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China.,Reproductive and Genetic Hospital of CITIC Xiangya, Changsha, Hunan, China.,Clinical Research Center For Reproduction and Genetics In Hunan Province, Changsha, China
| | - Wei-Na Li
- Reproductive and Genetic Hospital of CITIC Xiangya, Changsha, Hunan, China.,Clinical Research Center For Reproduction and Genetics In Hunan Province, Changsha, China.,Hunan Guangxiu Hi-tech Life Technology Co., Ltd., Changsha, China
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