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Movahedi Nia Z, Bragazzi N, Asgary A, Orbinski J, Wu J, Kong J. Mpox panic, infodemic, and stigmatization of the 2SLGBTQIAP+ community: geospatial analysis, topic modeling, and sentiment analysis of a large, multilingual social media database (Preprint). J Med Internet Res 2022; 25:e45108. [PMID: 37126377 DOI: 10.2196/45108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND The global Mpox (formerly, Monkeypox) outbreak is disproportionately affecting the gay and bisexual men having sex with men community. OBJECTIVE The aim of this study is to use social media to study country-level variations in topics and sentiments toward Mpox and Two-Spirit, Lesbian, Gay, Bisexual, Transgender, Queer or Questioning, Intersex, Asexual (2SLGBTQIAP+)-related topics. Previous infectious outbreaks have shown that stigma intensifies an outbreak. This work helps health officials control fear and stop discrimination. METHODS In total, 125,424 Twitter and Facebook posts related to Mpox and the 2SLGBTQIAP+ community were extracted from May 1 to December 25, 2022, using Twitter application programming interface academic accounts and Facebook-scraper tools. The tweets' main topics were discovered using Latent Dirichlet Allocation in the sklearn library. The pysentimiento package was used to find the sentiments of English and Spanish posts, and the CamemBERT package was used to recognize the sentiments of French posts. The tweets' and Facebook posts' languages were understood using the Twitter application programming interface platform and pycld3 library, respectively. Using ArcGis Online, the hot spots of the geotagged tweets were identified. Mann-Whitney U, ANOVA, and Dunn tests were used to compare the sentiment polarity of different topics and countries. RESULTS The number of Mpox posts and the number of posts with Mpox and 2SLGBTQIAP+ keywords were 85% correlated (P<.001). Interestingly, the number of posts with Mpox and 2SLGBTQIAP+ keywords had a higher correlation with the number of Mpox cases (correlation=0.36, P<.001) than the number of posts on Mpox (correlation=0.24, P<.001). Of the 10 topics, 8 were aimed at stigmatizing the 2SLGBTQIAP+ community, 3 of which had a significantly lower sentiment score than other topics (ANOVA P<.001). The Mann-Whitney U test shows that negative sentiments have a lower intensity than neutral and positive sentiments (P<.001) and neutral sentiments have a lower intensity than positive sentiments (P<.001). In addition, English sentiments have a higher negative and lower neutral and positive intensities than Spanish and French sentiments (P<.001), and Spanish sentiments have a higher negative and lower positive intensities than French sentiments (P<.001). The hot spots of the tweets with Mpox and 2SLGBTQIAP+ keywords were recognized as the United States, the United Kingdom, Canada, Spain, Portugal, India, Ireland, and Italy. Canada was identified as having more tweets with negative polarity and a lower sentiment score (P<.04). CONCLUSIONS The 2SLGBTQIAP+ community is being widely stigmatized for spreading the Mpox virus on social media. This turns the community into a highly vulnerable population, widens the disparities, increases discrimination, and accelerates the spread of the virus. By identifying the hot spots and key topics of the related tweets, this work helps decision makers and health officials inform more targeted policies.
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Affiliation(s)
- Zahra Movahedi Nia
- Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, North York, ON, Canada
- Laboratory for Industrial and Applied Mathematics, York University, North York, ON, Canada
| | - Nicola Bragazzi
- Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, North York, ON, Canada
- Laboratory for Industrial and Applied Mathematics, York University, North York, ON, Canada
| | - Ali Asgary
- Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, North York, ON, Canada
- Advanced Disaster, Emergency and Rapid-response Simulation, York University, North York, ON, Canada
| | - James Orbinski
- Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, North York, ON, Canada
- Dahdaleh Institute for Global Health Research, York University, North York, ON, Canada
| | - Jianhong Wu
- Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, North York, ON, Canada
- Laboratory for Industrial and Applied Mathematics, York University, North York, ON, Canada
| | - Jude Kong
- Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, North York, ON, Canada
- Laboratory for Industrial and Applied Mathematics, York University, North York, ON, Canada
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Zhu Z, Zhu X, Zhan Y, Gu L, Chen L, Li X. Development and comparison of predictive models for sexually transmitted diseases-AIDS, gonorrhea, and syphilis in China, 2011-2021. Front Public Health 2022; 10:966813. [PMID: 36091532 PMCID: PMC9450018 DOI: 10.3389/fpubh.2022.966813] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 07/25/2022] [Indexed: 01/24/2023] Open
Abstract
Background Accurate incidence prediction of sexually transmitted diseases (STDs) is critical for early prevention and better government strategic planning. In this paper, four different forecasting models were presented to predict the incidence of AIDS, gonorrhea, and syphilis. Methods The annual percentage changes in the incidence of AIDS, gonorrhea, and syphilis were estimated by using joinpoint regression. The performance of four methods, namely, the autoregressive integrated moving average (ARIMA) model, Elman neural network (ERNN) model, ARIMA-ERNN hybrid model and long short-term memory (LSTM) model, were assessed and compared. For 1-year prediction, the collected data from 2011 to 2020 were used for modeling to predict the incidence in 2021. For 5-year prediction, the collected data from 2011 to 2016 were used for modeling to predict the incidence from 2017 to 2021. The performance was evaluated based on four indices: mean square error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). Results The morbidities of AIDS and syphilis are on the rise, and the morbidity of gonorrhea has declined in recent years. The optimal ARIMA models were determined: ARIMA(2,1,2)(0,1,1)12, ARIMA(1,1,2)(0,1,2)12, and ARIMA(3,1,2)(1,1,2)12 for AIDS, gonorrhea, and syphilis 1-year prediction, respectively; ARIMA (2,1,2)(0,1,1)12, ARIMA(1,1,2)(0,1,2)12, and ARIMA(2,1,1)(0,1,0)12 for AIDS, gonorrhea and syphilis 5-year prediction, respectively. For 1-year prediction, the MAPEs of ARIMA, ERNN, ARIMA-ERNN, and LSTM for AIDS are 23.26, 20.24, 18.34, and 18.63, respectively; For gonorrhea, the MAPEs are 19.44, 18.03, 17.77, and 5.09, respectively; For syphilis, the MAPEs are 9.80, 9.55, 8.67, and 5.79, respectively. For 5-year prediction, the MAPEs of ARIMA, ERNN, ARIMA-ERNN, and LSTM for AIDS are 12.86, 23.54, 14.74, and 25.43, respectively; For gonorrhea, the MAPEs are 17.07, 17.95, 16.46, and 15.13, respectively; For syphilis, the MAPEs are 21.88, 24.00, 20.18 and 11.20, respectively. In general, the performance ranking of the four models from high to low is LSTM, ARIMA-ERNN, ERNN, and ARIMA. Conclusion The time series predictive models show their powerful performance in forecasting STDs incidence and can be applied by relevant authorities in the prevention and control of STDs.
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Affiliation(s)
| | | | | | | | | | - Xiuyang Li
- Department of Epidemiology & Biostatistics, and Center for Clinical Big Data and Statistics, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Zhang J, Xu JJ, Chu ZX, Hu QH, Han XX, Zhao B, Jiang YJ, Geng WQ, Shang H. Disparity of human immunodeficiency virus incidence and drug resistance in college student, non-student youth and older men who have sex with men: a cross-sectional study from seven major cities of China. Chin Med J (Engl) 2020; 133:2778-2786. [PMID: 33273325 PMCID: PMC7717759 DOI: 10.1097/cm9.0000000000001161] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Human immunodeficiency virus (HIV) prevalence among student men who have sex with men (MSM) in college is more than 5.0% and keeps on increasing in China. This study aims to clarify the proportion of HIV recent infection, its propeller and the source among college student MSM. METHODS We conducted a multicenter cross-sectional study in seven major Chinese cities during 2012-2013. HIV recent infections (≤ 168 days) and incidence was measured and estimated by BED HIV-1 capture enzyme immunoassay (BED-CEIA) testing strategy. HIV-related behaviors and transmitted drug resistance (TDR) were investigated and compared between the college student MSM, <25-year-old non-student youth MSM (NSYM), and ≥25-year-old non-student non-youth MSM (NSNYM), using structured survey, and analyses of drug resistance. RESULTS Overall, 4,496 (4496/4526, 99.3%) were eligible for enrollment, comprising 565 college student MSM, 1,094 NSYM, and 2,837 NSNYM. The proportion of HIV recent infection were 70.3% (26/37), 50.8% (65/128) and 35.1% (95/271), the HIV incidence rate were 10.0 (95% CI: 6.2-13.9)/100PY, 12.9 (95% CI: 9.8-16.1)/100PY, 6.8 (95% CI: 5.4-8.2)/100PY, and TDR prevalence were 7.4% (2/27), 2.0%, (2/98) and 4.9% (11/226), among student MSM, NSYM, and NSNYM, respectively. Among HIV positive student MSM with age< 21-year-old, the proportion of HIV recent infection is 90.9% (10/11). Factors independently associated with HIV recent infection in student MSM was usage of recreational drug in the past 6 months (AOR: 2.5; 95% CI: 1.0-5.8). CONCLUSIONS College student MSM had higher proportion of HIV recent infection and TDR than the youth and older MSM in China during 2012-2013. The HIV infections were more likely to happen during the early year of college life among student MSM.
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Affiliation(s)
- Jing Zhang
- 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, China
| | - 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, China
| | - 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, China
| | - 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, China
| | - Xiao-Xu Han
- 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, China
| | - Bin Zhao
- 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, China
| | - Wen-Qing Geng
- 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, 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, Liaoning 110001, China
- Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, Liaoning 110001, China
- Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, Liaoning 110001, China
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First Responses to the Symptoms of Sexually Transmitted Infections and Treatment-Seeking Behavior Among Men Who Have Sex With Men in 13 Cities in China. Sex Transm Dis 2020; 47:28-33. [PMID: 31651711 DOI: 10.1097/olq.0000000000001074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Data are scarce on sexually transmitted infection (STI) treatment-seeking behavior among men who have sex with men (MSM) in China. The purpose of the study was to characterize the first response to STI symptoms, treatment-seeking behavior, and its associated factors among MSM in China. METHODS A cross-sectional study with convenience sampling design was conducted in 13 cities from April to July 2017. Face-to-face interviews were conducted to collect information on demographics, STI symptoms, and treatment-seeking behavior. Logistic regression analysis was conducted to evaluate variables associated with not seeking treatment. RESULTS Among 3925 recruited participants, 628 (16.0%) reported STI symptoms in the past 12 months and were included in the analysis. Upon or after being notified of the symptoms, MSM sought help from various sources or self-tested using rapid testing kits. Only 322(51.3%) went to see a doctor in clinic. In multiple logistic regression analyses, younger age, lower income, less STI knowledge (adjusted odds ratio [AOR], 1.8; 95% confidence interval [CI], 1.2-2.5), not knowing own STI risk (AOR, 1.8; 95% CI, 1.2-2.7), no symptoms of anogenital ulcers (AOR, 2.3; 95% CI, 1.3-3.8) or anogenital warts (AOR, 2.4; 95% CI, 1.6-3.7), no syphilis testing in the past 12 months (AOR, 2.1; 95% CI, 1.5-3.0) were associated with higher probability of not seeking treatment in clinics. CONCLUSIONS We found a high prevalence of STI symptoms among MSM and only half sought treatment. Prevention efforts should promote STI education, testing, and adequate treatment-seeking behavior.
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Zhang J, Huang X, Chen Y, Wang H, Zhang Y, Wang H, Mei Z, Jia Y, Chu Z, Hu QH, He X, Zhang L, Hu Z, Bao R, Li S, Ding H, Jiang Y, Geng W, Tang W, Xu J. HIV and other STIs self-testing to reduce risk compensation among men who have sex with men who use oral pre-exposure prophylaxis in China: protocol for a randomised waitlist-controlled trial. BMJ Open 2020; 10:e036231. [PMID: 32690516 PMCID: PMC7371146 DOI: 10.1136/bmjopen-2019-036231] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
INTRODUCTION Pre-exposure prophylaxis (PrEP) reduces the risk of HIV infection among men who have sex with men by up to 99%. However, in real-world settings, PrEP users may exhibit risk compensation after uptake of PrEP, including more condomless anal intercourse (CAI) and increased sexually transmitted infection (STI) acquisition. HIV self-testing (HIVST) decreases CAI among men who have sex with men (MSM) by providing awareness of the HIV status of oneself and one's sexual partners. Here, we describe the rationale and design of a randomised waitlist-controlled trial to examine the impact of HIVST on risk compensation among PrEP users. METHODS AND ANALYSIS The study is a two-arm randomised waitlist-controlled trial with 1000 HIV-negative MSM in four major cities in China who will be taking oral PrEP (involving tenofovir disoproxil fumarate/emtricitabine) either daily (n=500) or in an event-driven regimen (n=500). The participants will be randomised (1:1) to either the immediate HIVST intervention arm (HIVST plus standard facility-based counselling and testing from 0 to 12 months) or the waitlist arm (standard facility-based counselling and testing from 0 to 6 months, then crossover to receive the HIVST intervention in months 7-12). Participants will provide blood samples to assess the incidence of syphilis and herpes simplex virus type 2 (HSV-2) during a follow-up. The primary outcomes will be the occurrence of CAI, number of sexual partners and incidence of syphilis and HSV-2 during a follow-up. The secondary outcomes will be the HIV and STI testing frequency and STI treatment adherence during a follow-up. The planned start and end dates for the study is 26 December 2018 and 31 December 2020. ETHICS AND DISSEMINATION The Medical Science Research Ethics Committee of The First Affiliated Hospital of China Medical University has approved the study (IRB(2018)273). TRIAL REGISTRATION NUMBER ChiCTR1800020374.
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Affiliation(s)
- Jing Zhang
- 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
| | - Xiaojie Huang
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yaokai Chen
- Chongqing Public Health Medical Center, Chongqing, China
| | - Hui Wang
- Department of Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, China
| | - Yonghui Zhang
- 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
| | - Hongyi Wang
- 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
| | - Zhu Mei
- 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
| | - Yueru Jia
- 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
| | - ZhenXing 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
| | - 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
| | - Xiaoqing He
- Chongqing Public Health Medical Center, Chongqing, China
| | - Lukun Zhang
- Department of Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, China
| | - Zhili 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
| | - Rantong Bao
- 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
| | - Shangcao 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
| | - Haibo 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
| | - Yongjun 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
| | - Wenqing Geng
- 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
| | - Weiming Tang
- University of North Carolina at Chapel Hill Project-China, Guangzhou, China
| | - Junjie 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
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Chimungu B, Fu M, Wu J, Wu J, Huang L, Dai Y, Tang S, Zhang J, Wan C. Prevalence of sexually transmitted infections among foreigners living in Guangzhou, China: a cross-sectional study (2010-2017). BMC Infect Dis 2020; 20:345. [PMID: 32410628 PMCID: PMC7222532 DOI: 10.1186/s12879-020-04995-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 03/27/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND The prevalence of HIV/HCV/HBV/ Treponema pallidum is an essential health issue in China. However, there are few studies focused on foreigners living in China. This study aimed to assess the prevalence and socio-demographic distribution of HIV, HBV, HCV, and T. pallidum among foreigners in Guangzhou in the period of 2010-2017. METHODS A cross-sectional study was conducted to screen serological samples of 40,935 foreigners from 2010 to 2017 at the Guangdong International Travel Health Care Center in Guangzhou. Samples were tested for hepatitis B surface antigen (HBsAg), anti-HCV, syphilis antibody (anti-TPPA) and anti-HIV 1 and 2. We collected secondary data from laboratory records and used multiple logistic regression analyses to verify the association between different factors and the seroprevalence of HIV/HBV/HCV/ T. pallidum. RESULTS The prevalence of HBV/HCV/HIV/ T. pallidum was 2.30, 0.42, 0.02, and 0.60%, respectively, and fluctuated slightly for 7 years. The results of multiple logistic regression showed that males were less susceptible to HBV than females (odds ratio [OR] = 0.77, 95% CI: 0.67-0.89). Participants under the age of 20 had a lower risk of HBV (OR = 0.25, 95% CI: 0.18-0.35), HCV (OR = 0.06, 95% CI: 0.02-0.18), and T. pallidum (OR = 0. 10, 95% CI: 0.05-0.20) than participants over the age of 50. Participants with an education level below high school were more likely to have HBV (OR = 2.98, 95% CI: 1.89-4.70) than others, and businessmen (OR = 3.02, 95% CI: 2.03-4.49), and designers (OR = 3.83, 95% CI: 2.49-5.90) had a higher risk of T. pallidum than others. Co-infection involved 58 (4.20%) total cases, and the highest co-infection rate was observed for HBV and T. pallidum (2.60%). CONCLUSION The prevalence of HBV/HCV/HIV/ T. pallidum was low among foreigners in Guangzhou. Region, gender, age, educational level, and occupation were risk factors for positive infection.
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Affiliation(s)
- Benard Chimungu
- Department of Microbiology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Muqing Fu
- Department of Microbiology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Jian Wu
- Clinical laboratory, Guangdong International Travel Health Care Center, Guangzhou, 510635, China
| | - Jiali Wu
- Department of Microbiology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Liping Huang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Yingchun Dai
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Shixing Tang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Jianming Zhang
- Clinical laboratory, Guangdong International Travel Health Care Center, Guangzhou, 510635, China.
| | - Chengsong Wan
- Department of Microbiology, School of Public Health, Southern Medical University, Guangzhou, 510515, China. .,Key Laboratory of Tropical Disease Research of Guangdong Province, Southern Medical University, Guangzhou, 510515, China.
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Ye X, Liu J, Yi Z. Trends in the Epidemiology of Sexually Transmitted Disease, Acquired Immune Deficiency Syndrome (AIDS), Gonorrhea, and Syphilis, in the 31 Provinces of Mainland China. Med Sci Monit 2019; 25:5657-5665. [PMID: 31361737 PMCID: PMC6685330 DOI: 10.12659/msm.915732] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Accepted: 03/21/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND This study aimed to investigate trends in the epidemiology of the leading sexually transmitted diseases (STDs), acquired immune deficiency syndrome (AIDS), gonorrhea, and syphilis, in the 31 provinces of mainland China. MATERIAL AND METHODS This retrospective study analyzed the incidence data of STDs from official reports in China between 2004 and 2016. The grey model first order one variable, or GM (1,1), time series forecasting model for epidemiological studies predicted the incidence of STDs based on the annual incidence reports from 31 Chinese mainland provinces. Hierarchical cluster analysis was used to group the prevalence of STDs within each province. RESULTS The prediction accuracy of the GM (1,1) model was high, based on data during the 13 years between 2004 and 2016. The model predicted that the incidence rates of AIDS and syphilis would continue to increase over the next two years. Cluster analysis showed that 31 provinces could be classified into four clusters according to similarities in the incidence of STDs. Group A (Sinkiang Province) had the highest reported prevalence of syphilis. Group B included provinces with a higher incidence of gonorrhea, mainly in the southeast coast of China. Group C consisted of southwest provinces with a higher incidence of AIDS. CONCLUSIONS The GM (1,1) model was predictive for the incidence of STDs in 31 provinces in China. The predicted incidence rates of AIDS and syphilis showed an upward trend. Regional distribution of the major STDs highlights the need for targeted prevention and control programs.
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Affiliation(s)
- Xuechen Ye
- Department of Social Medicine, School of Public Health, China Medical University, Shenyang, Liaoning, P.R. China
| | - Jie Liu
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, P.R. China
| | - Zhe Yi
- Department of Prothodontics, School of Stomatology, China Medical University, Shenyang, Liaoning, P.R. China
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Xu J, Yu H, Tang W, Leuba SI, Zhang J, Mao X, Wang H, Geng W, Jiang Y, Shang H. The Effect of Using Geosocial Networking Apps on the HIV Incidence Rate Among Men Who Have Sex With Men: Eighteen-Month Prospective Cohort Study in Shenyang, China. J Med Internet Res 2018; 20:e11303. [PMID: 30578225 PMCID: PMC6320406 DOI: 10.2196/11303] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 09/10/2018] [Accepted: 09/27/2018] [Indexed: 12/19/2022] Open
Abstract
Background Men who have sex with men (MSM) frequently seek partners through mobile apps (geosocial networking [GSN] apps). However, it is unclear whether GSN apps’ use is associated with the increase in HIV incidence among MSM. Objective The aim of this study was to clarify the characteristics of GSN apps’ users and to determine the association and putative mechanisms between GSN apps’ use behavior and HIV incidence. Methods We conducted an 18-month prospective cohort study of MSM in Shenyang, China, and the participants were surveyed every 3 months from March 2015 to December 2016. An in-person interview collected information on sociodemographics, GSN apps’ use, recreational drug use, and sexual behaviors. In addition, blood was drawn to test for HIV and syphilis. We used a multivariable Cox regression model to determine possible predictors for increased HIV incidence. Results Of the enrolled 686 HIV-negative MSM, 431 (431/686, 62.8%) were GSN apps’ users. Compared with GSN apps’ nonusers, GSN apps’ users were younger; had an earlier age of sexual debut; and in the past 3 months, were more likely to have used recreational drugs, more likely to have had 5 or more casual partners (CPs), more likely to have had group sex with males, and more likely to have had condomless anal intercourse (CAI) with male steady partners (SPs). In addition, 59.4% (256/431) of the GSN apps’ users were willing to accept HIV and AIDS prevention information push services through GSN apps. In total, 19 MSM seroconverted to HIV during the follow-up period; the HIV incidence density rate was 8.5 (95% CI 5.0-13.5) per 100 person-years (PY) among GSN apps’ users and 2.0 (95% CI 0.4-5.8) per 100 PY among nonusers. New HIV infections were independently associated with ever using GSN apps to seek male sexual partners (P=.04) and in the past 3 months, using recreational drugs (P=.048), having group sex with males (P=.01), and having CAI with male CPs (P=.02). Conclusions GSN apps’ use is associated with higher HIV incidence and may be mediated through recreational drug use and having multiple CPs. Researchers must develop an intervention propagated through GSN apps to reach this high-risk population to mitigate the HIV epidemic in the MSM community.
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Affiliation(s)
- Junjie Xu
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Huan Yu
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Weiming Tang
- Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Sequoia I Leuba
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jing Zhang
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Xiang Mao
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Hongyi Wang
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Wenqing Geng
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Yongjun Jiang
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Hong Shang
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, China
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Cao B, Zhao P, Bien C, Pan S, Tang W, Watson J, Mi G, Ding Y, Luo Z, Tucker JD. Linking young men who have sex with men (YMSM) to STI physicians: a nationwide cross-sectional survey in China. BMC Infect Dis 2018. [PMID: 29776395 DOI: 10.1186/s12879-018-3145-2.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Many young men who have sex with men (YMSM) are reluctant to seek health services and trust local physicians. Online information seeking may encourage YMSM to identify and see trustworthy physicians, obtain sexual health services, and obtain testing for sexually transmitted infections (STIs). This study examined online STI information seeking behaviors among Chinese YMSM and its association with offline physician visits. METHODS We conducted a nationwide online survey among YMSM through WeChat, the largest social media platform in China. We collected information on individual demographics, sexual behaviors, online STI information seeking, offline STI testing, and STI physician visits. We examined the most commonly used platforms (search engines, governmental websites, counseling websites, generic social media, gay mobile apps, and mobile medical apps) and their trustworthiness. We assessed interest and willingness to use an MSM-friendly physician finder function embedded within a gay mobile app. Logistic regression models were used to examine the correlation between online STI information searching and offline physician visits. RESULTS A total of 503 men completed the survey. Most men (425/503, 84.5%) searched for STI information online. The most commonly used platform to obtain STI information were search engines (402/425, 94.5%), followed by gay mobile apps (201/425, 47.3%). Men reported high trustworthiness of information received from gay mobile apps. Men also reported high interest (465/503, 92.4%) and willingness (463/503, 92.0%) to use a MSM-friendly physician finder function within such apps. Both using general social media (aOR =1.14, 95%CI: 1.04-1.26) and mobile medical apps (aOR =1.16, 95%CI: 1.01-1.34) for online information seeking were associated with visiting a physician. CONCLUSION Online STI information seeking is common and correlated with visiting a physician among YMSM. Cultivating partnerships with the emerging mobile medical apps may be useful for disseminating STI information and providing better physician services to YMSM.
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Affiliation(s)
- Bolin Cao
- School of Media and Communication, Shenzhen University, Shenzhen, China.,University of North Carolina Project - China, Guangzhou, China
| | - Peipei Zhao
- Shenzhen Nanshan Chronic Disease Control Center, Shenzhen, China
| | - Cedric Bien
- University of North Carolina Project - China, Guangzhou, China
| | - Stephen Pan
- University of North Carolina Project - China, Guangzhou, China
| | - Weiming Tang
- University of North Carolina Project - China, Guangzhou, China.,School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Julia Watson
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Yi Ding
- Shenzhen Nanshan Chronic Disease Control Center, Shenzhen, China
| | - Zhenzhou Luo
- Shenzhen Nanshan Chronic Disease Control Center, Shenzhen, China
| | - Joseph D Tucker
- University of North Carolina Project - China, Guangzhou, China. .,School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. .,London School of Hygiene and Tropical Medicine, London, UK.
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10
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Cao B, Zhao P, Bien C, Pan S, Tang W, Watson J, Mi G, Ding Y, Luo Z, Tucker JD. Linking young men who have sex with men (YMSM) to STI physicians: a nationwide cross-sectional survey in China. BMC Infect Dis 2018; 18:228. [PMID: 29776395 PMCID: PMC5960109 DOI: 10.1186/s12879-018-3145-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 05/10/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Many young men who have sex with men (YMSM) are reluctant to seek health services and trust local physicians. Online information seeking may encourage YMSM to identify and see trustworthy physicians, obtain sexual health services, and obtain testing for sexually transmitted infections (STIs). This study examined online STI information seeking behaviors among Chinese YMSM and its association with offline physician visits. METHODS We conducted a nationwide online survey among YMSM through WeChat, the largest social media platform in China. We collected information on individual demographics, sexual behaviors, online STI information seeking, offline STI testing, and STI physician visits. We examined the most commonly used platforms (search engines, governmental websites, counseling websites, generic social media, gay mobile apps, and mobile medical apps) and their trustworthiness. We assessed interest and willingness to use an MSM-friendly physician finder function embedded within a gay mobile app. Logistic regression models were used to examine the correlation between online STI information searching and offline physician visits. RESULTS A total of 503 men completed the survey. Most men (425/503, 84.5%) searched for STI information online. The most commonly used platform to obtain STI information were search engines (402/425, 94.5%), followed by gay mobile apps (201/425, 47.3%). Men reported high trustworthiness of information received from gay mobile apps. Men also reported high interest (465/503, 92.4%) and willingness (463/503, 92.0%) to use a MSM-friendly physician finder function within such apps. Both using general social media (aOR =1.14, 95%CI: 1.04-1.26) and mobile medical apps (aOR =1.16, 95%CI: 1.01-1.34) for online information seeking were associated with visiting a physician. CONCLUSION Online STI information seeking is common and correlated with visiting a physician among YMSM. Cultivating partnerships with the emerging mobile medical apps may be useful for disseminating STI information and providing better physician services to YMSM.
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Affiliation(s)
- Bolin Cao
- School of Media and Communication, Shenzhen University, Shenzhen, China.,University of North Carolina Project - China, Guangzhou, China
| | - Peipei Zhao
- Shenzhen Nanshan Chronic Disease Control Center, Shenzhen, China
| | - Cedric Bien
- University of North Carolina Project - China, Guangzhou, China
| | - Stephen Pan
- University of North Carolina Project - China, Guangzhou, China
| | - Weiming Tang
- University of North Carolina Project - China, Guangzhou, China.,School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Julia Watson
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Yi Ding
- Shenzhen Nanshan Chronic Disease Control Center, Shenzhen, China
| | - Zhenzhou Luo
- Shenzhen Nanshan Chronic Disease Control Center, Shenzhen, China
| | - Joseph D Tucker
- University of North Carolina Project - China, Guangzhou, China. .,School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. .,London School of Hygiene and Tropical Medicine, London, UK.
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