Characterization and spatial distribution of new infections in the newly reported HIV-1 infected population in Luzhou city
10.3760/cma.j.cn112866-20240627-00098
- VernacularTitle:泸州市新报告HIV-1感染人群新发感染特征及空间分布分析
- Author:
Yu AI
1
;
Ming YU
;
Dan YUAN
;
Wengping XU
;
Ticheng XIAO
;
Liao FENG
;
Peibin ZENG
Author Information
1. 四川大学华西公共卫生学院/四川大学华西第四医院，成都 610041
- Publication Type:Journal Article
- Keywords:
Human immunodeficiency virus;
New infection;
Spatial autocorrelation;
Getis- Ord Gi* analysis
- From:
Chinese Journal of Experimental and Clinical Virology
2025;39(1):75-80
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the characteristics of new infections in the newly reported HIV-1 infected population in Luzhou, to find out the characteristics of the high-risk population, which may provide a basis for developing precise prevention and control measures locally.Methods:HIV-1 LAg Avidity EIA test was applied for newly reported cases in Luzhou from 2018 to 2021. The chi-square test was used for univariate analysis, logistic regression model for multivariate analysis, and spatial autocorrelation and hotspot analysis were applied to explore the spatial distribution characteristics of new infections in Luzhou city.Results:A total of 4 494 cases reported in the odd-numbered months were selected for testing, with 673 newly infected cases and the proportion of newly infected cases was 14.98%. Newly infected cases were predominantly male (472/673, 70.13%), married (335/673, 49.78%), heterosexual transmission (621/673, 92.27%), age>50 years (520/673, 77.27%), and junior high school or lower education (599/673, 89.00%). The proportion of new infections in each year were 11.74% (129/1 099), 17.11% (247/1 444), 13.57% (154/1 134) and 17.50% (143/817), respectively, with a statistically significant difference ( χ2=20.024, P<0.001) and an upward trend ( χ2=5.997, P=0.014). There were statistically significant differences in different transmission routes, gender, education level, occupation, sample source and residence (all P<0.05). Logistic regression analysis showed that gender, marital status, transmission route, current address, and sample source were all influencing factors for new infections. There are spatial autocorrelation characteristics of new case incidence in 2018 and 2021, hotspot areas gradually shifted from dispersed to relatively concentrated, with the number fluctuating with reported year. Conclusions:The proportion of new HIV-1 infections in Luzhou is relatively low throughout the province, but it is on the rise. The proportion of new infections is higher among youth, students, homosexual transmission, and retired persons. Attention should be focused on hotspot areas and routine surveillance and testing of key populations in hotspot areas should be strengthened.
