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CN 34-1304/RISSN 1674-3679

Volume 27 Issue 12
Dec.  2023
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SHI Yaying, ZHU Yanfeng, LUO Lin, DAI Zhen, LIU Fang, HE Qinying. Spatial clustering of HIV/AIDS among out-of-school adolescents in Chengdu from 2010 to 2021[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(12): 1403-1407. doi: 10.16462/j.cnki.zhjbkz.2023.12.007
Citation: SHI Yaying, ZHU Yanfeng, LUO Lin, DAI Zhen, LIU Fang, HE Qinying. Spatial clustering of HIV/AIDS among out-of-school adolescents in Chengdu from 2010 to 2021[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(12): 1403-1407. doi: 10.16462/j.cnki.zhjbkz.2023.12.007

Spatial clustering of HIV/AIDS among out-of-school adolescents in Chengdu from 2010 to 2021

doi: 10.16462/j.cnki.zhjbkz.2023.12.007
Funds:

Sichuan Provincial Health and Family Planning Commission 19PJ026

Sichuan Provincial Foundation of Sichuan Research Center of Applied Psychology of Chengdu Medical College CSXL-202A22

Sichuan Research Center for the Sociology of Sexuality and Sex Education SXJYB2109

More Information
  • Corresponding author: HE Qinying, E-mail: hqysi@163.com
  • Received Date: 2023-06-26
  • Rev Recd Date: 2023-09-01
  • Publish Date: 2023-12-10
  •   Objective   To analyze the characteristics and trends of spatial aggregation of HIV among out-of-school adolescents in Chengdu from 2010 to 2021, providing a reference basis for regionalized prevention and resource adjustment in the future.   Methods   Newly reported HIV/AIDS cases among out-of-school adolescents in Chengdu between 2010 and 2021 were screened from the China Disease Control and Prevention Information System for descriptive analysis. Spatial autocorrelation and clustering were analyzed using ArcGIS 10.6 software. Spatiotemporal scanning was conducted using SaTScan.   Results   The average annual growth rate was 15.97% from 2010 to 2015, while the average annual reduction rate was -7.97% from 2015 to 2021. The epidemic of out-of-school adolescents affected 334 towns or streets from 2010 to 2021, exhibiting spatial aggregation that was concentrated in the central area of Chengdu, and gradually spreading to the surrounding area over time. The distribution of hotspots for heterosexual and homosexual transmission differed. Spatiotemporal scanning analysis revealed that the clustering areas were primainly located in 37 streets within the central area of Chengdu during the period of 2012-2017.   Conclusions   The number of HIV cases among out-of-school adolescents in Chengdu displays a trend of initial increase followed by a decrease from 2010-2021. The spatial distribution exhibits distinct unevenness, with more serious epidemics concentrated in the central area of Chengdu. Therefore, it is crucial to strengthen publicity and intervention efforts for out-of-school adolescents in the hot distribution areas of heterosexual and homosexual transmission.
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