# Unraveling HIV-1 spread in Southwest China: a phylogenetic and molecular network approach

## TL;DR

This study uses genetic data to map how HIV spreads in Guangxi, China, identifying key cities and risk factors to guide targeted prevention efforts.

## Contribution

The integration of molecular network analysis, phylogenetics, and spatial data reveals detailed HIV transmission patterns in Southwest China.

## Key findings

- 75.6% of HIV-1 cases in Guangxi clustered within molecular networks, indicating high local transmission.
- CRF01_AE had the widest geographic spread, while Nanning and Qinzhou were key hubs for different subtypes.
- Factors like low education, older age, and syringe sharing were linked to increased network clustering.

## Abstract

Guangxi is one of the regions most affected by HIV-1 in China, yet the fine-scale transmission dynamics and molecular epidemiology remain incompletely characterized. In this study, we integrated molecular transmission network analysis, phylogenetic inference, and spatial analysis to elucidate HIV-1 dispersal patterns and inform precision public health interventions. We analyzed 10,199 HIV-1 pol sequences collected from all 14 cities in Guangxi, encompassing major subtypes including CRF01_AE, CRF07_BC, CRF08_BC, and CRF55_01B. Molecular networks were constructed using a 1.5% TN93 genetic-distance threshold, and logistic regression was applied to identify factors associated with network clustering. Bayesian phylogenetic and phylogeographic analyses were used to characterize spatiotemporal dissemination patterns. Overall, 75.6% (7,706/10,199) of individuals clustered within molecular networks, with clustering proportions exceeding 60% in every city. Factors independently associated with clustering included viral load >10,000 copies/mL (OR = 1.23, 95% CI: 1.10–1.39), education level of junior high school or below (OR = 1.67, 95% CI: 1.30–2.14), age ≥50 years (OR = 1.38, 95% CI: 1.16–1.63), Zhuang ethnicity (OR = 1.18, 95% CI: 1.08–1.30), and syringe sharing (OR = 1.65, 95% CI: 1.14–2.38). Intercity connections accounted for 48.2% of inferred genetic linkages, with CRF55_01B showing the highest intercity connectivity (60.4%). CRF01_AE displayed the broadest geographic distribution, Nanning and Qinzhou emerged as key connectivity hubs. Phylogeographic analyses suggested that Qinzhou was a major source of dispersal for CRF01_AE and CRF08_BC, whereas Nanning played a central role in the dissemination of CRF07_BC, CRF08_BC, and CRF55_01B. HIV-1 transmission in Guangxi is characterized by high network clustering and pronounced spatial heterogeneity, with distinct hub cities contributing to regional connectivity. These findings provide actionable evidence to support targeted, location-specific HIV prevention and control strategies at both local and regional levels.