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Trends in disease burden and mortality attribution of HIV/AIDS, China, 1990-2023
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Hui-hui XIAO, Jin ZHAO, Shui-lian CHEN, Pei-pei DENG, Yin-zhu ZHOU, Jin-song QIU
Modern Preventive Medicine | 2026, 53(14) : 2668 - 2675
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Modern Preventive Medicine | 2026, 53(14): 2668-2675
• Disease Control and Prevention •
Trends in disease burden and mortality attribution of HIV/AIDS, China, 1990-2023
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Hui-hui XIAO, Jin ZHAO, Shui-lian CHEN, Pei-pei DENG, Yin-zhu ZHOU, Jin-song QIU
Affiliations
  • Division of Infectious Diseases Prevention and Control, Changsha Center for Disease Control and Prevention (Changsha Health Inspection Bureau), Changsha, Hunan 410004, China
Published: 2026-07-25 doi: 10.20043/j.cnki.MPM.202601040
Outline
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Objective

To analyze the trends in disease burden of HIV/AIDS in China from 1990 to 2023 and conduct a death attribution analysis, providing evidence for refining national HIV prevention and control strategies.

Methods

Utilizing data from the Global Burden of Disease Study 2023, the age-standardized incidence rate, mortality rate and disability-adjusted life years (DALYs) rate were applied to assess the disease burden of HIV/AIDS in China. The Joinpoint regression model was used to calculate the annual percent change (APC) and average annual percent change (AAPC). The age-period-cohortmodel was applied to examine the effects of age, period, and birth cohort in disease burden. Death attribution analyses were performed for comorbidities such as tuberculosis (TB).

Results

The age-standardized incidence rate of HIV/AIDS in China increased from 0.69 per 100 000 in 1990 to 2.36 per 100 000 in 2023, with an AAPC of 3.78%. The age-standardized mortality rate rose from 0.14 per 100 000 in 1990 to 1.65 per 100 000 in 2023, with an AAPC of 7.71%. The age-standardized DALYs rate increased from 6.81 per 100 000 in 1990 to 78.21 per 100 000 in 2023, with an AAPC of 7.70%. Age-period-cohort model analysis revealed a “bimodal” age distribution in incidence, with peaks among the 20-34 and over-70 age groups. Compared with the period 2004-2008, the risk of incidence showed a declining trend after 2008, while the risk of mortality and DALYs increased. All indicators showed higher risks in males than in females. Compared with 1955-1959 birth cohort, the highest incidence risk was observed in the 1930-1934 birth cohort, while individuals born after 1960 showed increasing risks of death and DALYs. In terms of death attribution, deaths due to other diseases caused by HIV increased from 55.38% in 1990 to 93.33% in 2023. TB-related deaths continued to decline, predominantly involving HIV-drug-susceptible tuberculosis (HIV-DS-TB), with a higher proportion among males.

Conclusion

From 1990 to 2023, the disease burden of HIV/AIDS in China showed an upward trend. Young adults aged 20-34 yearsandthe elderly are key priority populations. Non-tuberculosis-related-diseases have become the leading cause of death. Future prevention and control strategies in China should focus on interventions targeting sexual transmission, early detection and treatment for young adults, the elderly, and male populations, as well as enhanced surveillance and management of non-tuberculosis-related-diseases.

HIV/AIDS  /  Disease burden  /  Joinpoint regression model  /  Age-period-cohort model
肖回回, 赵锦, 陈水连, 邓佩佩, 周银柱, 邱劲松. 1990—2023年中国HIV/AIDS疾病负担趋势及死亡归因分析. 现代预防医学, 2026 , 53 (14) : 2668 -2675 . DOI: 10.20043/j.cnki.MPM.202601040
Hui-hui XIAO, Jin ZHAO, Shui-lian CHEN, Pei-pei DENG, Yin-zhu ZHOU, Jin-song QIU. Trends in disease burden and mortality attribution of HIV/AIDS, China, 1990-2023[J]. Modern Preventive Medicine, 2026 , 53 (14) : 2668 -2675 . DOI: 10.20043/j.cnki.MPM.202601040
Year 2026 volume 53 Issue 14
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191
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doi: 10.20043/j.cnki.MPM.202601040
  • Receive Date:2026-01-05
  • Online Date:2026-09-28
  • Published:2026-07-25
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  • Received:2026-01-05
Affiliations
    Division of Infectious Diseases Prevention and Control, Changsha Center for Disease Control and Prevention (Changsha Health Inspection Bureau), Changsha, Hunan 410004, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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