ArticleScientific reports2025
Spatial panel data analysis of antimicrobial resistance in Escherichia coli in China.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Spatial distribution and determinants of antimicrobial resistance in livestock across pathogen types, animal species and antimicrobial classes.BMC veterinary research · 2026Article
- Spatio-temporal clustering and meteorological factors influencing HFRS incidence in mainland China, 2004-2021.Epidemiology and infection · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Antimicrobial resistance has caused tremendous loss of life, health, and economic property, and Enterobacteriaceae bacteria have been classified by the World Health Organization as one of the key pathogens for which drug development is urgently needed. There is a lack of in-depth research on spatial effect analysis of Escherichia coli (E. coli) by researchers. The study was analyzed using spatial effect analysis with data from the China Antibiotic Resistance Surveillance System covering the prevalence of third-generation cephalosporins-resistant E. coli (3GCREC), carbapenem-resistant E. coli (CREC) and quinolone-resistant E. coli (QREC) in 30 provinces during 2014-2023. Spatial Durbin model and effect decomposition were used to determine the spatial effects of E. coli and their influencing factors, including Ambient temperature, Particulate matter (PM
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.