1.Characterization and spatial distribution of new infections in the newly reported HIV-1 infected population in Luzhou city
Yu AI ; Ming YU ; Dan YUAN ; Wengping XU ; Ticheng XIAO ; Liao FENG ; Peibin ZENG
Chinese Journal of Experimental and Clinical Virology 2025;39(1):75-80
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.
2.Characterization and spatial distribution of new infections in the newly reported HIV-1 infected population in Luzhou city
Yu AI ; Ming YU ; Dan YUAN ; Wengping XU ; Ticheng XIAO ; Liao FENG ; Peibin ZENG
Chinese Journal of Experimental and Clinical Virology 2025;39(1):75-80
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.
3. Application of molecular tracing technique in one analysis of AIDS infection source
Wenping XU ; Ming YU ; Dan KONG ; Ticheng XIAO ; Jiafeng ZOU ; Lixin XU ; Xiaohong LIU
Chinese Journal of Experimental and Clinical Virology 2019;33(5):526-529
Objective:
To determine the HIV infection of a 13-year-old leukemia patient Wei using molecular tracing technique.
Methods:
Three blood samples were collected from the persons who were associated with HIV positive blood donation member Lang. The viral load was tested and pol gene was sequenced and analyzed. At the same time using HyPhy2.2.4 and Cytoscape 3.6.1 to establish the molecular network with these 3 samples sequences and other HIV subtypes sequences obtained from Luzhou.
Results:
The HIV-1 viral load test result of the three patients were: Lang 933 CPS /ml (treated, blood donor), Wei (blood recipitent) 89 813 CPS /ml, Deng (blood recipitent) 85 158 CPS /ml. The subtype of HIV-1 of these three samples were all recombinant HIV CRF01_AE, and the

Result Analysis
Print
Save
E-mail