ArticleJugan geon-gang gwa jilbyeong2024
[Introduction to the Research Results of Coronavirus Disease 2019 Big Data (K-COV-N) and the Corresponding Utilization Plan].
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 2 papers.
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Alcohol consumption and the risk of coronavirus disease 2019: A prospective cohort study.Medicine · 2026Article
- Korea Disease Control and Prevention Agency Infectious Disease Big Data: Opening, Integration, Outcomes, and Future Directions.Jugan geon-gang gwa jilbyeong · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
As part of the effort to establish a scientific basis for quarantine policies aimed at responding to new infectious diseases based on the experience of responding to coronavirus disease 2019 (COVID-19), the Korea Disease Control and Prevention Agency (KDCA) and National Health Insurance Service promoted the establishment of health information big data and signed a business agreement (April 29, 2021). The big data created by combining the KDCA's COVID-19 confirmed cases and vaccination data with the National Health Insurance Service's national health information are known as K-COV-N (KDCA Covid-19 NHIS cohort). The big data constructed were opened to the private sector through the National Health Insurance Service's open platform to promote private research. A cumulative total of 211 cases have been approved since the opening of COVID-19 big data from April 2022 until October 2, 2024, and a total of 30 papers have been published in international journals. The main contents were research results such as COVID-19 infection risk factors, vaccination effects, and long COVID. In addition, after the opening of big data, we held workshops on practical networking for utilizing COVID-19 big data to share analyses and techniques for utilizing the data. Additionally, we established a public-private data analysis network to promote exchanges between practitioners. In addition, we are contributing to the activation of private research by expanding ties with the National Cancer Center and health-information-holding organizations. Accordingly, the KDCA plans to continue opening up infectious disease-related information to develop evidence-based quarantine policies and support expert decision-making.
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Registered trials
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 Socratic graph.