Research article

An analysis on the trend of AIDS/HIV incidence in Chongqing and Shenzhen, China from 2005–2015 based on Age-Period-Cohort model

  • These authors contributed equally.
  • Received: 27 May 2021 Accepted: 11 August 2021 Published: 23 August 2021
  • 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.

    Citation: Ying Liu, Weidong Ji, Yi Yin, Zhengrong Yang, Shu Yang, Chao Zhou, Yongli Cai, Kai Wang, Zhihang Peng, Daihai He, Weiming Wang. An analysis on the trend of AIDS/HIV incidence in Chongqing and Shenzhen, China from 2005–2015 based on Age-Period-Cohort model[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 6961-6977. doi: 10.3934/mbe.2021346

    Related Papers:

  • 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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    [1] Q. Tang, H. Lu, HIV/AIDS responses in China should focus on the impact of global integration, Biosci. Trends., 12 (2018), 507–509. doi: 10.5582/bst.2018.01269
    [2] Z. Li, Z. Teng, H. Miao, Modeling and Control for HIV/AIDS Transmission in China Based on Data from 2004 to 2016, Comput. Math. Methods Med., 2017 (2017), 8935314.
    [3] X. Zhang, N. Wang, S. H. Vermund, H. Zou, X. Li, F. Zhang, H. Z. Qian, Interventions to improve the HIV continuum of care in China, Curr. HIV/AIDS Rep., 16 (2019), 448–457. doi: 10.1007/s11904-019-00469-y
    [4] S. Yang, A. P. Y. Chiu, Q. Lin, Z. Zeng, Y. Li, Y. Zhang, et al., HIV epidemics in Shenzhen and Chongqing, China, PLoS One, 13 (2018), e0192849. doi: 10.1371/journal.pone.0192849
    [5] S. Qian, W. Guo, J. Xing, Q. Qin, Z. Ding, F. Chen, et al., Diversity of HIV/AIDS epidemic in China: a result from hierarchical clustering analysis and spatial autocorrelation analysis, AIDS, 28 (2014), 1805–1813. doi: 10.1097/QAD.0000000000000323
    [6] M. Cornell, L. Myer, R. Kaplan, L. G. Bekker, R. Wood, The impact of gender and income on survival and retention in a South African antiretroviral therapy programme, Trop. Med. Int. Health, 14 (2009), 722–731. doi: 10.1111/j.1365-3156.2009.02290.x
    [7] K. C. Takarinda, A. D. Harries, R. W. Shiraishi, T. Mutasa-Apollo, A. Abdul-Quader, O. Mugurungi, Gender-related differences in outcomes and attrition on antiretroviral treatment among an HIV-infected patient cohort in Zimbabwe: 2007–2010, Int. J. Infect. Dis., 30 (2015), 98–105. doi: 10.1016/j.ijid.2014.11.009
    [8] Y. Zhang, P. Chen, R. Lu, L. Liu, Y. Wu, X. Liu, et al., Prevalence of HIV among men who have sex with men in Chongqing, China, 2006–2009: cross-sectional biological and behavioural surveys, Sex Transm. Infect., 88 (2012), 444–450. doi: 10.1136/sextrans-2011-050295
    [9] J. Zhao, R. Cai, L. Chen, W. Cai, Z. Yang, J. H. Richardus, et al., A comparison between respondent-driven sampling and time-location sampling among men who have sex with men in Shenzhen, China, Arch Sex Behav., 44 (2015), 2055–2065. doi: 10.1007/s10508-014-0350-y
    [10] P. Wu, B. J. Cowling, C. M. Schooling, I. O. Wong, J. M. Johnston, C. C. Leung, et al., Age-period-cohort analysis of tuberculosis notifications in Hong Kong from 1961 to 2005, Thorax., 63 (2008), 312–316. doi: 10.1136/thx.2007.082354
    [11] X. Liu, J. Jiang, C. Yu, Y. Wang, Y. Sun, J. Tang, et al., Secular trends in incidence and mortality of bladder cancer in China, 1990–2017: A joinpoint and age-period-cohort analysis, Cancer Epidemiol., 61 (2019), 95–103. doi: 10.1016/j.canep.2019.05.011
    [12] X. Liu, C. Yu, Y. Bi, Z. J. Zhang, Trends and age-period-cohort effect on incidence and mortality of prostate cancer from 1990 to 2017 in China, Public Health., 172 (2019), 70–80. doi: 10.1016/j.puhe.2019.04.016
    [13] Y. Zhang, G. Luo, J. Etxeberria, Y. Hao, Global patterns and trends in lung cancer incidence: a population-based study, J. Thorac. Oncol., 16 (2021), 933–944. doi: 10.1016/j.jtho.2021.01.1626
    [14] P. S. Rosenberg, A new age-period-cohort model for cancer surveillance research, Stat. Methods Med. Res., 28 (2019), 3363–3391. doi: 10.1177/0962280218801121
    [15] B. Getachew, T. Liabsuetrakul, S. Virani, Y. Gebrehiwot, Age, period and cohort analysis of age-specific maternal mortality trend in Ethiopia: A secondary analysis, PLoS One, 15 (2020), e0224220. doi: 10.1371/journal.pone.0224220
    [16] J. Cao, E. S. Eshak, K. Liu, K. Gero, Z. Liu, C. Yu, Age-Period-Cohort Analysis of Stroke Mortality Attributable to High Sodium Intake in China and Japan, Stroke, 50 (2019), 1648–1654. doi: 10.1161/STROKEAHA.118.024617
    [17] F. T. T. Lai, B. Guthrie, S. Y. S. Wong, B. H. K. Yip, G. K. K. Chung, E. K. Yeoh, et al., Sex-specific intergenerational trends in morbidity burden and multimorbidity status in Hong Kong community: an age-period-cohort analysis of repeated population surveys, BMJ Open, 9 (2019), e023927. doi: 10.1136/bmjopen-2018-023927
    [18] F. J. Willekens, N. Baydar, The APC model. 1993.
    [19] H. Akaike, A new look at the statistical model identification, IEEE T. Automat. Contr., 19 (1974), 716–723. doi: 10.1109/TAC.1974.1100705
    [20] X. Liu, J. Jiang, C. Yu, Y. Wang, Y. Sun, J. Tang, et al., Secular trends in incidence and mortality of bladder cancer in China, 1990–2017: A joinpoint and age-period-cohort analysis, Cancer Epidemiol., 61 (2019), 95–103. doi: 10.1016/j.canep.2019.05.011
    [21] P. S. Rosenberg, D. P. Check, W. F. Anderson, A web tool for age-period-cohort analysis of cancer incidence and mortality rates, Cancer Epidemiol. Biomarkers Prev., 23 (2014), 2296–2302. doi: 10.1158/1055-9965.EPI-14-0300
    [22] S. Mancini, E. Crocetti, L. Bucchi, N. Pimpinelli, R. Vattiato, O. Giuliani, et al., Time trends and age-period-cohort analysis of cutaneous malignant melanoma incidence rates in the Romagna Region (northern Italy), 1986–2014, Melanoma Res., 30 (2020), 198–205. doi: 10.1097/CMR.0000000000000570
    [23] T. Okui, An age-period-cohort analysis of mortality rates for stomach, colorectal, liver, and lung cancer among prefectures in Japan, 1999–2018, Environ. Health Prev. Med., 25 (2020), 1–13. doi: 10.1186/s12199-019-0839-z
    [24] D. Bucchi, M. Chiavarini, F. Bianconi, M. E. Galeotti, A. Gili, F. Stracci, Immigration, screening, and cervical cancer incidence: an application of Age-Period-Cohort analysis, Eur. J. Cancer Prev., 28 (2019), 529–536. doi: 10.1097/CEJ.0000000000000495
    [25] W. Ji, N. Xie, D. He, W. Wang, H. Li, K. Wang, Age-Period-Cohort Analysis on the Time Trend of Hepatitis B Incidence in Four Prefectures of Southern Xinjiang, China from 2005 to 2017, Int. J. Environ. Res. Public Health, 16 (2019), 3886. doi: 10.3390/ijerph16203886
    [26] S. A. Iqbal, C. A. Winston, B. H. Bardenheier, L. R. Armstrong, T. R. Navin, Age-Period-Cohort Analyses of Tuberculosis Incidence Rates by Nativity, United States, 1996–2016, Am. J. Public Health, 108 (2018), S315–S320. doi: 10.2105/AJPH.2018.304687
    [27] Z. Lu, W. Ji, Y. Yin, X. Jin, L. Wang, Z. Li, et al., Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018), BMC Public Health, 21 (2021), 1–15. doi: 10.1186/s12889-020-10013-y
    [28] P. C. Apratto Junior, M. B. de Lima Barros, R. P. Daumas, M. K. de Noronha Andrade, D. L. Monteiro, B. R. Vincent, et al., Trends in AIDS incidence in individuals aged 50 years or older in the city of Rio de Janeiro, Brazil, 1982–2011: an age-period-cohort analysis, Int. J. Environ. Res. Public Health, 11 (2014), 7608–7621. doi: 10.3390/ijerph110807608
    [29] G. Li, Y. Jiang, L. Zhang, HIV upsurge in China's students, Science, 364 (2019), 711. doi: 10.1126/science.aay0799
    [30] Y. Zhang, D. Liu, Z. R. Yang, S. C. Liu, Q. H. Liao, Y. J. Luo, et al., Epidemiological characteristics of foreign HIV/AIDS cases live in Shenzhen during 2004–2017, Elect. J. Emerg. Infect. Dis., 4 (2019), 165–168.
    [31] W. Ye, X. X. Chen, Analysis on the Knowledge and Behavior about HIV/AIDS among College Students in a District of Shenzhen, Chin. Prim. Health Care, 34 (2020), 83–85.
    [32] B. Shu, An Analysis of AIDS Cases among Students in a District of Shenzhen, Henan J. Prevent. Med., 29 (2018), 31–33.
    [33] D. Liu, Y. Zhang, S. D. Feng, Z. R. Yang, Characteristics of newly reported HIV/AIDS cases in Shenzhen from 2012 to 2017, (In Chinese) Prevent. Med., 31 (2019), 511–513.
    [34] H. Zou, S. Fan, Characteristics of Men Who Have Sex With Men Who Use Smartphone Geosocial Networking Applications and Implications for HIV Interventions: A Systematic Review and Meta-Analysis, Arch Sex Behav., 46 (2017), 885–894. doi: 10.1007/s10508-016-0709-3
    [35] J. Xing, Y. G. Li, W. Tang, W. Guo, Z. Ding, G. Ding, et al., HIV/AIDS epidemic among older adults in China during 2005-2012: results from trend and spatial analysis, Clin. Infect. Dis., 59 (2014), e53–60. doi: 10.1093/cid/ciu214
    [36] H. X. Zhang, M. J. Han, Y. Zhou, X. F. Xiu, F. Xu, L. Wang, HIV infection rate in people aged 50 years and older in China: a Meta-analysis, Chin. J. Epidemiol., 41 (2020), 96–102.
    [37] Y. J. Luo, Y. Zhang, Z. R. Yang, S. C. Liu, J. G. Tan, J. Zhao, et al., (In Chinese) Epidemiological characteristics of students HIV/AIDS cases in Shenzhen, 2008–2018, China Trop. Med., 19 (2019), 560–562.
    [38] D. Gao, Z. Zou, B. Dong, W. Zhang, T. Chen, W. Cui, et al., Secular trends in HIV/AIDS mortality in China from 1990 to 2016: Gender disparities, PLoS One, 14 (2019), e0219689. doi: 10.1371/journal.pone.0219689
    [39] J. M. Nie, X. J. He, J. Qian, Q. Cao, L. L. Zhang, R. Huang, et al., (In Chinese) Epidemiological characteristics of HIV/AIDS in Chongqing, Chin. Prevent Med., 21 (2020), 1251–1256.
    [40] Y. C. Qiao, Y. Xu, D. X. Jiang, X. Wang, F. Wang, J. Yang, et al., Epidemiological analyses of regional and age differences of HIV/AIDS prevalence in China, 2004–2016, Int. J. Infect. Dis., 81 (2019), 215–220. doi: 10.1016/j.ijid.2019.02.016
    [41] W. Sun, M. Wu, P. Qu, C. Lu, L. Wang, Psychological well-being of people living with HIV/AIDS under the new epidemic characteristics in China and the risk factors: a population-based study, Int. J. Infect. Dis., 28 (2014), 147–152. doi: 10.1016/j.ijid.2014.07.010
    [42] Z. L. Zhou, Q. L. Sun, Y. S. Tu, R. S. Luan, W. Q. Zhang, Z. Q. Zhan, Analysis on the characteristics of AIDS in Baoan District of Shenzhen City from 2012 to 2018, (In Chinese) J. Commun. Med., 18 (2020), 1373–1376.
    [43] Y. Liu, X. M. Liu, J. F. Niu, Shu B., HIV infection status and epidemiological characteristics of target surveillance population in Futian District of Shenzhen, 2008–2017, Chin. Trop. Med., 19 (2019), 356–359.
    [44] M. B. Huang, L. Ye, B. Y. Liang, C. Y. Ning, W. W. Roth, J. J. Jiang, et al., Characterizing the HIV/AIDS Epidemic in the United States and China, Int. J. Environ. Res. Public Health, 13 (2015), ijerph13010030.
    [45] Y. Yan, S. Wu, L. Chen, P. Yan, Y. Qiu, M. Xie, et al., Shift in HIV/AIDS Epidemic in Southeastern China: A Longitudinal Study from 1987 to 2015, Int. J. Environ. Res. Public Health, 13 (2016), 794. doi: 10.3390/ijerph13080794
    [46] F. Wang, S. Mubarik, Y. Zhang, L. Wang, Y. Wang, C. Yu, et al., Long-Term Trends of Liver Cancer Incidence and Mortality in China 1990–2017: A Joinpoint and Age-Period-Cohort Analysis, Int. J. Environ. Res. Public Health, 16 (2019), 2878. doi: 10.3390/ijerph16162878
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