Evidence map›Paper›PMID 42676075›Full record

ArticleJournal of Korean medical science2026

Consistency in North Korean Medical Academic Research Topics During the COVID-19 Pandemic: A Text Mining Analysis.

Eun Hae Lee, Minjae Choi, Hanul Park, Joon Hee Han, Sujeong Yu, Joshua Kirabo Sempungu, Yo Han Lee

Abstract read
In one paragraph

Article in Journal of Korean medical science, 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
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0citing papers in PubMed
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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

7 authors.

Eun Hae LeeProgram in Public Health, Graduate School, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0003-3169-751X
Minjae ChoiInstitute for Future Public Health, Graduate School of Public Health, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0003-2057-7360
Hanul ParkDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9005-9388
Joon Hee HanDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0007-0853-6239
Sujeong YuDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4489-8054
Joshua Kirabo SempunguProgram in Public Health, Graduate School, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0002-6983-6274
Yo Han LeeDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9631-9969

Funding

Korea University K2225791National Research Foundation of Korea RS-2023-00249082UniKorea Foundation
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic triggered a global shift in medical research priorities, with increased emphasis on infectious disease response and public health. However, little is known about whether similar changes occurred in the People's Republic of Korea (North Korea), a country with limited transparency and access to health data. This study aimed to assess thematic changes in North Korean medical academic research before and during the COVID-19 pandemic by analyzing article titles using text mining techniques.

methodsWe extracted 8,818 paper titles from six major North Korean medical academic journals published between 2017 and 2022 and categorized them into two periods: pre-pandemic (2017-2019) and pandemic (2020-2022). Morpheme analysis was performed to break down text data into meaningful units, frequency analysis and word cloud visualization were applied to identify and intuitively describe the most frequently occurring terms, and latent dirichlet allocation (LDA) topic modeling was performed to identify latent topics formed by words that frequently occur simultaneously within the article's title. In addition, the framework of the analysis was divided into two categories: disease and health care service, and the subject-specific changes in each area were analyzed.

resultsDuring the pandemic, as expected, an increasing proportion of topics related to new infectious diseases was observed. However, the core structure of the research topic remained essentially unchanged over the two periods. In particular, as before the pandemic, surgical treatment-related words accounted for the largest proportion. In LDA thematic modeling, treatment-oriented topics such as drug prescription formed a key group. The majority of COVID-19-related articles tended to focus on clinical management and quarantine rather than basic science or vaccine development.

conclusionWhile the world is focusing on vaccine and quarantine research, the medical research in North Korea maintained a strong focus on solving immediate problems, such as surgical and drug treatment, rather than shifting significantly toward pandemic-specific research. This means that medical academic research in North Korea tends to adhere to the existing research system rather than responding to external crises. In conclusion, identifying this pattern provides essential insights for predicting North Korea's capacity to respond and its limitations in the event of another health crisis in the future.

Indexed as

Biomedical ResearchCOVID-19Data MiningAcademiaDemocratic People's Republic of KoreaHumansPandemicsRepublic of KoreaSARS-CoV-2COVID-19Medical Research TrendsNorth KoreaText Mining

Identifiers

PMID42676075
PMCPMC13530411

What OpenQuestion holds

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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.