# Spatiotemporal dynamics and multiple driving factors of antimicrobial resistance in China during the COVID-19 pandemic (2019–2023): a provincial panel data analysis

## TL;DR

This study explores how antimicrobial resistance (AMR) in China changed from 2019 to 2023, identifying key factors like healthcare spending and environmental conditions that influence specific resistant bacteria.

## Contribution

The study provides a novel provincial-level analysis of AMR dynamics in China during the COVID-19 pandemic, revealing spatial patterns and multifactorial drivers.

## Key findings

- CRKP and CRAB showed significant spatial clustering, while MRSA did not.
- Healthcare expenditure and livestock inventory were key drivers for different resistant pathogens.
- Higher healthcare capacity correlated with increased carbapenem-resistant pathogens, highlighting a 'paradox of progress.'

## Abstract

Antimicrobial resistance (AMR) poses a critical and growing global health threat, directly causing millions of deaths, with China bearing a significant burden. Understanding the provincial dynamics and multifactorial one health drivers of AMR, especially amidst the transformative 2019–2023 coronavirus disease 2019 (COVID-19) pandemic, remains crucial but underexplored. This comprehensive study investigated the spatiotemporal patterns and multisectoral drivers of methicillin-resistant Staphylococcus aureus (MRSA), carbapenem-resistant Klebsiella pneumoniae (CRKP), and carbapenem-resistant Acinetobacter baumannii (CRAB) prevalence across Chinese provinces using a robust 2019–2023 panel data set. Utilizing spatial autocorrelation (Global Moran’s I) and a multimodel approach, including panel fixed-effects regression, least absolute shrinkage and selection operator, and random forest, we identified robust drivers across healthcare, agricultural, environmental, and socioeconomic domains. Significant positive spatial autocorrelation was found for CRKP (Moran’s I = 0.225; P < 0.05) and CRAB (Moran’s I = 0.159; P < 0.05), indicating geographical clustering, whereas MRSA exhibited no significant pattern. Pathogen-specific drivers emerged. MRSA prevalence was linked to livestock inventory and PM2.5; CRKP to healthcare expenditure and pig inventory; and CRAB to healthcare expenditure and hospital beds, alongside counterintuitive negative associations with population aging and average length of hospital stay. The direct annual effect of COVID-19 was not statistically significant. We conclude that Chinese AMR is a spatially heterogeneous challenge driven by complex one health factors. A striking “paradox of progress” suggests higher healthcare capacity correlates with dangerously increased carbapenem-resistant pathogens, emphasizing the urgent need for robust infection prevention and control. The pandemic’s influence was predominantly indirect. These findings demand multisectoral, regionally tailored AMR strategies integrating healthcare, agricultural, and environmental policies for effective control.