Molecular transmission network analysis of newly diagnosed HIV-1 infections in Ningbo from 2018-2022.

ABSTRACT:

Introduction

Understanding molecular transmission patterns is critical for HIV prevention designed with key populations. This study aimed to characterize the molecular epidemiology, transmission networks, and underlying factors associated with HIV-1 transmission in Ningbo during 2018-2022.

Methods

We analyzed data from 1,409 newly diagnosed people living with HIV who had successful genotyping. A maximum likelihood phylogenetic tree was constructed, and transmission clusters were identified using 1.3% distance and 0.9 bootstrap values. Multivariate logistic regression was applied to identify factors associated with clustered, large clusters (≥10 nodes) and fast-growing clusters.

Results

Molecular analysis revealed 11 distinct HIV-1 subtypes and some unique recombinant

SUBMITTER: Yin YQ 

PROVIDER: S-EPMC12672912 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature