Analysis of HIV-1 molecular transmission network characteristics in Fusui County,Chong-zuo City,Guangxi
Objective:To analyze the molecular transmission network characteristics of human immunodeficien-cy virus(HIV)-infected individuals in Fusui County,Chongzuo City,Guangxi,and to explore the risk factors con-tributing to network cluster and high-risk transmission.Methods:Blood samples were collected from HIV/AIDS patients diagnosed in Fusui County between 2005 and 2021.A molecular transmission network was constructed through comparative sequence analysis of amplified HIV-1 pol sequences.Binary logistic regression was used to analyze factors influencing entry into the molecular network and high-risk transmission.Results:In this study,a total of 349 HIV-1 pol sequences were analyzed,including 6 strain subtypes from Fusui County:CRF01_AE sub-type(49.86%),CRF07_BC subtype(32.38%),CRF08_BC subtype(14.33%),CRF55_01B subtype(1.14%),C subtype(0.29%),and unique recombinant form(URF)(2.00%).Among the sequences,192(55.01%)sequenc-es entered the molecular transmission network,forming 31 clusters,192 nodes,and 736 edges.Individuals aged over 50 years(aOR=1.861,95%CI:1.009-3.433),infected with the CRF07_BC subtype strain(aOR=4.386,95%CI:2.533-7.594),with education level of primary school or below(aOR=1.709,95%CI.1.070-2.729),with a his-tory of non-marital commercial heterosexual contact(aOR=1.682,95%CI:1.027-2.753),and having a positive spouse/regular sexual partner(aOR=2.428,95%CI:1.181-4.995),were more likely to enter the transmission net-work for cluster transmission.Furthermore,individuals aged over 50 years(aOR=1.861,95%CI:1.009-3.433),infected with CRF07_BC(aOR=4.386,95%CI:2.533-7.594),and with education level of primary school or be-low(aOR=1.699,95%CI:1.004-2.874),were more likely to be high linkage transmission.Conclusion:The key population for AIDS transmission in Fusui County,Chongzuo City,Guangxi,is older adults aged over 50 years with a primary school education or below.It is important to conduct source tracing investigations based on the transmission clustering characteristics of key populations in the molecular network and implement targeted inter-ventions to reduce secondary transmission.
human immunodeficiency virus type 1molecular transmission networkhigh risk of transmissioninfluencing factor