Evidence map›Paper›PMID 42597808›Full record

ArticlePublic health weekly report2026

Field Epidemiological Investigation Training Demand Survey for Central and Local Epidemiological Investigation and Response Teams.

Yoo-Yeon Kim, Mi Yu, Jin Lee, Ho Kyoung Song, Eun Kyoung Kim

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.

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

5 authors.

Yoo-Yeon KimDivision of Disease Control Capacity Building, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0001-6359-9733
Mi YuDivision of Disease Control Capacity Building, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0001-5831-1053
Jin LeeDivision of Disease Control Capacity Building, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0002-4175-1914
Ho Kyoung SongDivision of Disease Control Capacity Building, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0009-0004-2923-9637
Eun Kyoung KimDivision of Disease Control Capacity Building, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0003-3613-3270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The Korea Disease Control and Prevention Agency conducts simulation training to enhance the response capabilities of Epidemiological Investigation and Response Teams (ERTs). We analyzed training demands among Central and Local ERTs following nine scenario-based training sessions in 2025. Methods: A survey was administered to 269 participants: 97 training debriefing attendees on-site (November 28, 2025) and 172 Central ERTs online (December 1-5, 2025) using a self-developed questionnaire that covered respondent characteristics, training topics, and methods. Data were analyzed using descriptive statistics and group differences via chi-square or Fisher's exact tests. Results: The preferred topics among the 133 respondents (response rate 49.4%; 95 Central, 38 Local ERTs; 74.4% female; median age 43.0; 5.0 years' experience) were respiratory (41.4%) diseases and water- and food-borne diseases (33.8%), and responses to mass gathering events (48.9%) and disaster events (46.6%). There was a significantly higher demand for diseases of unknown origin, non-communicable diseases, and mass gathering responses among Central ERTs. Conversely, Local ERTs prioritized training for water- and food-borne diseases and educational/healthcare facility outbreaks. Risk communication (46.6%) and risk assessment (45.9%) were equally prioritized by both groups, and problem-based learning (PBL, 57.1%) and field-linked practical training (51.9%) were the preferred methodologies. Conclusions: Given the differing preferences reported, future training should be tailored to reflect each team's mission. Tailored scenarios should be developed that would enable Local ERTs to focus on community-level educational/healthcare facility outbreaks, while Central ERTs would concentrate on complex cases requiring coordination with the competent ministries or precise etiological investigations. Finally, it is necessary to maintain PBL methods and strengthen capabilities in areas like risk communication and assessment.

Indexed as

Epidemiological responseNeeds assessmentProblem-based learningSimulation training

Identifiers

PMID42597808
PMCPMC13470547

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.