Evidence map›Paper›PMID 40961172›Full record

ArticlePloS one2025

Estimating the clinical and economic burden of medically attended influenza in South Korea, stratified by age and comorbidity: A five-season hospital-based surveillance data, 2014/15-2018/19.

Min Joo Choi, Won Suk Choi, Joon Young Song, Hee Jin Cheong, Ji Yun Noh, Seong-Heon Wie, Jin Soo Lee, Jacob Lee, Hyo Youl Kim, Shin-Woo Kim and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Min Joo ChoiDivision of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Won Suk ChoiDivision of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.
Joon Young SongDivision of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Hee Jin CheongDivision of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Ji Yun NohDivision of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Seong-Heon WieDivision of Infectious Diseases, Department of Internal Medicine, St. Vincent's Hospital, Catholic University College of Medicine, Seoul, Republic of Korea.
Jin Soo LeeDivision of Infectious Diseases, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon, Republic of Korea.ORCID 0000-0001-7862-5519
Jacob LeeDivision of Infectious Diseases, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Hyo Youl KimDivision of Infectious Diseases, Department of Internal Medicine, Wonju Christian Hospital, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
Shin-Woo KimDivision of Infectious Diseases, Department of Internal Medicine, Kyungpook National University College of Medicine, Daegu, Republic of Korea.
Kyong-Hwa ParkDivision of Infectious Diseases, Chonnam National University Medical School, Gwangju, Republic of Korea.
Woo Joo KimDivision of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID 0000-0002-4546-3880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to estimate the clinical and economic burden of influenza in South Korea across five seasons (2014/15-2018/19), stratified by age and comorbidity, using data from the Hospital-based Influenza Morbidity and Mortality (HIMM) network.

methodsData were gathered from eight university hospitals and included adults (≥ 20 years) with laboratory-confirmed influenza. The catchment population was estimated using hospital and national statistical data. Economic costs were evaluated from a societal perspective.

resultsThe incidence of medically attended influenza ranged from 113.1 to 220.7 per 100,000 adults, with hospitalization rate of 35.5 to 76.8, intensive care unit admission at 4.2 to 9.2, and deaths at 1.4 to 3.6. Annual socioeconomic costs ranged from $156 to $316 million, primarily driven by indirect costs associated with early mortality. The highest cost was recorded in 2017/18, following the largest outbreak, particularly among older adults. Per capita socioeconomic costs ranged from $2,747 to $4,072 across the seasons, with peak values observed in 2018/19 and 2015/16. Among at-risk groups, per capita costs were 1.5-2.3 times higher than those of the general adult population.

conclusionsInfluenza imposes a significant clinical and economic burden on South Korea. Tailored strategies are essential to mitigate this burden, particularly among older adults and at-risk individuals not covered by the National Immunization Program.

Indexed as

Cost of IllnessInfluenza, HumanAdultAgedAged, 80 and overAge FactorsComorbidityFemaleHealth Care CostsHospitalizationHumansIncidenceMaleMiddle AgedRepublic of KoreaSeasons

Identifiers

PMID40961172
PMCPMC12443274

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.