Evidence map›Paper›PMID 42569512›Full record

ArticlePublic health weekly report2026

Regional Statistics from 2023 Community-based Severe Trauma Surveillance in the Gyeongnam Region.

Ayoung Lee, Hyeng Il Cheun, Yeon Hwa Choi

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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ayoung LeeDivision of Chronic Disease Management, Gyeongnam Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, Busan, Korea.ORCID https://orcid.org/0009-0007-0934-5194
Hyeng Il CheunDivision of Chronic Disease Management, Gyeongnam Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, Busan, Korea.ORCID https://orcid.org/0000-0001-9740-886X
Yeon Hwa ChoiDivision of Chronic Disease Management, Gyeongnam Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, Busan, Korea.ORCID https://orcid.org/0000-0001-6564-1253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To support region-specific injury prevention strategies, this study analyzed the incidence and characteristics of severe trauma, nontraumatic serious injuries, and mass casualty incidents across the Gyeongnam region (Busan, Ulsan, and Gyeongnam) using data from the 2023 Community-Based Severe Trauma Surveillance. Methods: By referencing the 2023 Community-Based Severe Trauma Surveillance statistics from the Korea Disease Control and Prevention Agency, the study examined injury characteristics in Gyeongnam and compared them with national figures. Results: The rate of severe trauma rose from 1,188 (15.4 per 100,000) the prior year to 1,252 cases (16.4 per 100,000); the highest incidence rates were observed in patients aged 80 and older (Busan, 25.1; Ulsan, 37.7; Gyeongnam, 39.7). Transport accidents were the most prevalent incidents in Ulsan (52.4%) and Gyeongnam (55.0%), while falls/slips predominated in Busan (55.2%). Case fatality rates fell across Busan (57.9%→52.3%), Ulsan (48.5%→46.5%), and Gyeongnam (62.0%→57.7%), while disability rates rose in each of these regions (Busan, 83.2%→84.8%; Ulsan, 79.1%→87.9%; Gyeongnam, 70.7%→76.2%). Nontraumatic serious injuries dropped to 2,363 incidents (30.9 per 100,000) from a previous count of 2,400 (31.1); the highest incidence rates were observed among those aged 80 and older (Busan, 58.3; Ulsan, 59.6; Gyeongnam, 69.6). Self-harm/suicide ranked as the primary underlying cause (Busan, 80.3%; Ulsan, 66.5%; Gyeongnam, 59.3%). Notably, Busan posted the highest rate nationwide. Mass casualty incidents accounted for 622 cases (8.1 per 100,000), primarily due to vehicle accidents (Busan, 73.7%; Ulsan, 64.8%; Gyeongnam, 78.4%). Conclusions: Injury patterns differ by location. Busan necessitates reinforced fall prevention and mental health interventions; Ulsan requires targeted strategies for severe trauma, mass casualty management, and mitigation of nontraumatic injury fatality; and Gyeongnam demands healthcare infrastructure improvements to reduce incidence, case fatality, and disability rates. Consequently, localized management frameworks tailored to growing elderly populations are warranted across the Gyeongnam area.

Indexed as

Community-based severe trauma surveillanceGyeongnam regionTraumaWounds and injuries

Identifiers

PMID42569512
PMCPMC13450592

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LicenceCC BY-NC
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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.