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CN 34-1304/RISSN 1674-3679

Volume 28 Issue 12
Dec.  2024
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Article Contents
WU Xuanhe, WANG Shanling, WANG Yating, XIE Yali, WANG Tingting, SHEN Weiwei, CHEN Xiaoxiao, LIN Haijiang, HE Na. The spatial-temporal distribution of newly reported HIV-infected patients and factors associated with recent HIV infection in Taizhou of Zhejiang Province from 2019 to 2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(12): 1391-1398. doi: 10.16462/j.cnki.zhjbkz.2024.12.005
Citation: WU Xuanhe, WANG Shanling, WANG Yating, XIE Yali, WANG Tingting, SHEN Weiwei, CHEN Xiaoxiao, LIN Haijiang, HE Na. The spatial-temporal distribution of newly reported HIV-infected patients and factors associated with recent HIV infection in Taizhou of Zhejiang Province from 2019 to 2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(12): 1391-1398. doi: 10.16462/j.cnki.zhjbkz.2024.12.005

The spatial-temporal distribution of newly reported HIV-infected patients and factors associated with recent HIV infection in Taizhou of Zhejiang Province from 2019 to 2022

doi: 10.16462/j.cnki.zhjbkz.2024.12.005
Funds:

National Key Research and Development Program 2022YFC2304902

Zhejiang Provincial Natural Science Foundation TGY23H260003

Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents 2018-62

More Information
  • Corresponding author: LIN Haijiang, E-mail : 84800166@qq.com; HE Na, E-mail : nhe@fudan.edu.cn
  • Received Date: 2023-12-08
  • Rev Recd Date: 2024-09-19
  • Available Online: 2025-01-24
  • Publish Date: 2024-12-10
  •   Objective  This study aims to analyze the epidemiological characteristics of newly reported human immunodeficiency virus(HIV) cases and the influencing factors of recent infection in Taizhou City, Zhejiang Province.  Methods  HIV-1 limiting-antigen avidity enzyme immunoassay (LAg-Avidity EIA) was performed to detect recent infection within new HIV diagnoses reported between 2019 and 2022 in Taizhou City. Multivariate logistic regression models were employed for multifactorial analysis of factors influencing the proportion of recent infection. The spatial analysis was conducted with arc geographic information system(ArcGIS) 10.7 software.  Results  In total, 1 785 eligible subjects were enrolled for further study, with 313 cases (17.5%) classified as HIV recent infections. The proportion of recent infections in 2019-2022 was 10.6%, 15.9%, 23.9% and 20.2%, respectively. The high-risk population for recent infection includes individuals aged 18- < 30 years old, illiterate, homosexual transmission and voluntary testing and counseling. HIV recent infections were primarily distributed in Linhai, Jiaojiang, Luqiao and Wenling.  Conclusions  The proportion of HIV recent infection in Taizhou City was relatively high and showed an increasing trend from 2019 to 2022. The recent infection cases are predominantly male, with uneven distribution across regions. It is important to enhance targeted education in high-risk population, focusing on areas with dense cases, and strengthen the detection and discovery of individuals aged 40 and above.
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