Evidence map›Paper›PMID 42328309›Full record

ArticleInfectious medicine2026

Global distribution and genomic characteristics of

Jing Tao, Yang Liu, Xueqi Jiang, Xiaohui Song, Xuran Zhang, Yang Song, Qian Zhang, Qi Chen, Linhuan Wu, Dong Jin and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Jing TaoNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Yang LiuNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Xueqi JiangNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Xiaohui SongNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Xuran ZhangNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Yang SongDivision of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Qian ZhangNational Microbiology Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Qi ChenNational Microbiology Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Linhuan WuNational Microbiology Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Dong JinNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Qiang WeiNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We curated 42,189 Results: This largest dataset to date encompasses 68 countries across six continents, yet sampling is heavily skewed toward high-income regions. We identified 50 serotypes and 166 sequence types (STs), uncovering strong serotype-ST associations and pronounced geographical predilections. Critically, the distribution of predominant serotypes reveals gaps in coverage by current vaccine candidates in some high-burden settings. cgMLST provided molecular evidence for extensive cross-border transmission, particularly among Conclusions: This study delivers the most comprehensive spatiotemporal and species-inclusive genomic resource for

Indexed as

Antimicrobial resistance geneCore genome multilocus sequence typingGenomic epidemiologyShigella

Identifiers

PMID42328309
PMCPMC13276570

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.