The multipathogen profiles and co-infection characteristics obtained from comprehensive surveillance of patients with acute respiratory infections in the post-COVID-19 era in Shenzhen, China.

ABSTRACT:

Background

The long-term impact of the COVID-19 pandemic on the distribution pattern of respiratory pathogens in China was unknown. Our study aimed to determine the multipathogen profiles and co-infection characteristics among patients with acute respiratory infections (ARIs) in the post-COVID-19 era in Shenzhen, China.

Methods

This multi-center cross-sectional study was conducted among patients with ARIs from five sentinel hospitals from November 1, 2022 to June 30, 2023 in Shenzhen, China. The collected respiratory samples were subjected to targeted next-generation sequencing for high-throughput screening of 108 respiratory pathogens. Multi-stage logistic regression models were built to infer interactions between pathogens at the individual level.

Results

The median

SUBMITTER: Niu D 

PROVIDER: S-EPMC12821205 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature