Work

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

Year: 2025

Type: article

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: (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 between antibiotic resistance rates and environmental factors. Result: CO and annual average humidity predominantly exerted negative impacts on both CREC and CRKP rates. Meanwhile, the influence of related factors on CREC and CRKP shows temporal and spatial heterogeneity. Both CREC and CRKP exhibited significant spatial aggregation, displaying High-High and Low-Low patterns. Trend analysis indicated an upward trend for both in the east-west direction and an inverted U-shape in the north-south direction. Conclusion: It is important to pay attention to the impact of air pollution and climate factors on antibiotic resistance.

Source: One Health

DOI: 10.1016/j.onehlt.2025.101204

Authors: Bingsong Li, Xuemei Zhen, Jiangfeng Ouyang, Cecilia Stålsby Lundborg

Institutions: Shandong University, Karolinska Institutet

Language: English

Topic: Antibiotic Use and Resistance

Subfield: Applied Microbiology and Biotechnology

Field: Immunology and Microbiology

Domain: Life Sciences

SDGs: Good health and well-being, Climate action

Open Access status: gold

Estimated APC paid: $3,080