Association between antibiotic resistance and air pollution and climate factors in China: A multivariable spatial-temporal analysis.

ABSTRACT:

Objective

In this study, we aimed to identify the spatiotemporal variation of antibiotic resistance and its relationship with environmental factors (air pollution and climate factors) in China.

Method

The detection rate of carbapenem-resistant Klebsiella pneumoniae (CRKP) and Escherichia coli (CREC) in China from 2014 to 2022 was used to detect drug resistance. Air pollution factors include particulate matter and gaseous pollutants, and climate factors include temperature, precipitation and humidity. The spatial-temporal distributions and trend analyses were analyzed. Spatial autocorrelation analyses were performed to explore CRKP and CREC rates clustering. A geographically and temporally weighted regression model (GTWR) was adopted to analyze the relationship

SUBMITTER: Li B 

PROVIDER: S-EPMC12478133 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature