Evidence map›Paper›PMID 41660855›Full record

ArticleAntimicrobial agents and chemotherapy2026

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

Xu Zheng, Xiaoyan You, Yu Liu, Binwei Wu

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xu ZhengQingdao Municipal Hospital, Qingdao, China.
Xiaoyan YouQingdao Municipal Hospital, Qingdao, China.
Yu LiuCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China.
Binwei WuQingdao Municipal Hospital, Qingdao, China.ORCID 0009-0007-6310-915X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

COVID-19Drug Resistance, BacterialAcinetobacter baumanniiAnti-Bacterial AgentsCarbapenemsChinaHumansKlebsiella pneumoniaeMethicillin-Resistant Staphylococcus aureusPandemicsSARS-CoV-2Spatio-Temporal AnalysisAnti-Bacterial AgentsCarbapenemsantimicrobial resistanceChinadriving factorsmachine learningone healthspatial autocorrelation

Identifiers

PMID41660855
PMCPMC12959092

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.