Evidence map›Paper›PMID 41333679›Full record

ArticleJugan geon-gang gwa jilbyeong2024

[Report on the Epidemic Investigation of the Pertussis Outbreak in Gyeongsangnam-do, 2023-2024].

U Jin Cho, Ah-Ra Kim, Hye Rim Park, Da-Hye An, Seul-Gi Yang, Yeonjung Kim

Abstract readEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

6 authors.

U Jin Cho *질병관리청 경남권질병대응센터 감염병대응과.
Ah-Ra Kim *질병관리청 경남권질병대응센터 감염병대응과.
Hye Rim Park질병관리청 경남권질병대응센터 감염병대응과.
Da-Hye An질병관리청 경남권질병대응센터 감염병대응과.
Seul-Gi Yang질병관리청 경남권질병대응센터 감염병대응과.
Yeonjung Kim질병관리청 경남권질병대응센터 감염병대응과.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pertussis is a legally designated Class 2 infectious disease managed through the national vaccination program. While the number of patients in the Republic of Korea has decreased significantly due to increased vaccination rates, caution is still necessary because the disease affects various age groups, from unvaccinated children to adolescents and adults. From October 1, 2023, to February 29, 2024, 268 pertussis cases were reported in the Gyeongsangnam-do area, which has experienced two small-scale outbreaks in the past 10 years. To explore effective infectious disease management strategies, recent outbreak cases were analyzed, and the field response process was described. An analysis of 268 pertussis cases showed that the majority (87.2%) of confirmed cases occurred in Changwon-si Masanhoewon-gu and Haman-gun in Gyeongsangnam-do, primarily among school-aged children aged 5-14 years (89.9%). Among the patients, 258 (96.3%) showed symptoms of coughing, 60 (22.4%) required hospitalization, and the rest recovered through outpatient treatment. The main route of infection was identified as transmission through group living environments in educational facilities, such as daycare centers, schools, academies, and after-school classes. The decrease in immunity among school-aged children after initial vaccinations in infancy was identified as a major factor in the spread of the outbreak. Hence, it is necessary to develop vaccination strategies tailored to the specific characteristics of areas affected by the epidemic and to actively promote clinical and epidemiological education within the community providing information about pertussis.

Indexed as

Disease outbreaksEpidemiologic studiesPertussisVaccine-preventable disease

Identifiers

PMID41333679
PMCPMC12479989

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Registered trials

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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.