Evidence map›Paper›PMID 42367374›Full record

ArticlePublic health weekly report2026

Trends and Risk Factors of Enterohemorrhagic

Youjin Hong, Kwang-Pil Ko, Hyeree Park

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

3 authors.

Youjin HongGyeonggi Infectious Disease Control Center, Seongnam, Korea.ORCID https://orcid.org/0000-0002-3978-0214
Kwang-Pil KoGyeonggi Infectious Disease Control Center, Seongnam, Korea.ORCID https://orcid.org/0000-0002-7788-2887
Hyeree ParkGyeonggi Infectious Disease Control Center, Seongnam, Korea.ORCID https://orcid.org/0000-0003-1551-260X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to analyze epidemiological trends in enterohemorrhagic Methods: Epidemiological investigation data collected from 2019 through August 2025 were analyzed. To assess the increase in cases in 2025, the Farrington algorithm was applied using 2019-2023 data as the baseline period. Three analytical models were compared according to the handling of 2020 data: Model 1 included all 2020 data, Model 2 excluded all 2020 data, and Model 3 excluded only outbreak-related cases from 2020. Food exposure categories were additionally reclassified into meat, ground meat products, dairy products, and vegetables/fruits according to the 2024 revision of the epidemiological investigation form. Results: EHEC infections occurred year-round, with the highest incidence observed from June to August. From January through August 2025, 123 cases were reported, a level comparable to the peak recorded in 2020. All three models detected statistical alerts during July-August 2025, indicating that the increase in cases was atypical regardless of how the 2020 outbreak data were handled. Meat consumption accounted for the largest proportion of reported food exposures, with yukhoe, being particularly prominent among cases in 2025. In addition, the serogroup distribution shifted from O157 dominance toward an increased prevalence of non-O157 serogroups, particularly O103 and O26. Conclusions: The 2025 surge appears to reflect a shift from localized outbreaks toward more widespread sporadic transmission, characterized by frequent raw beef exposure and increasing diversity of non-O157 serogroups. Strengthening multi-serogroup surveillance and refining epidemiological investigation forms, particularly by subdividing food exposure items, are essential for precise source tracking, earlier detection, and effective prevention.

Indexed as

Enterohemorrhagic Escherichia coliEpidemiological investigationFarrington algorithmRisk factors

Identifiers

PMID42367374
PMCPMC13306548

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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.