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Korea Disease Control and Prevention Agency Infectious Disease Big Data: Opening, Integration, Outcomes, and Future
Jinhwa Jang1, Hyojun Ju1, Gyeong Hee Song1
1Division of Epidemiological Data Analysis, Department of Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Jugan Geon-Gang Gwa Jilbyeong
|December 23, 2025
Summary
The Korea Disease Control and Prevention Agency (KDCA) has established infectious disease big data resources, enabling research and informing evidence-based public health policies for improved national health security.
Area of Science:
- Public Health
- Epidemiology
- Health Informatics
Background:
- The emergence of novel infectious diseases necessitates data-driven policy.
- Real-world data is crucial for effective infectious disease control and prevention.
Purpose of the Study:
- To examine the Korea Disease Control and Prevention Agency's (KDCA) strategies for creating and opening infectious disease big data.
- To analyze the policy implications of these initiatives.
Main Methods:
- Development of the Korea Disease Control and Prevention Agency-COVID19-National Health Insurance Service (K-COV-N) cohort.
- Launch of the Infectious Disease Big Data Platform with standardized, anonymized datasets for 64 diseases.
- Enhancement of data accessibility through a statistics dashboard and open API.
Main Results:
- Open data resources facilitated studies on vaccine effectiveness, vulnerable populations, long COVID, and healthcare impacts.
- These initiatives bridged research and policy, supporting preventive health strategies.
- Strengthened infectious disease response capacity through accessible real-world data.
Conclusions:
- KDCA's big data initiatives serve as core infrastructure for evidence-informed policy.
- Integrating diverse health data domains and AI analytics will bolster population health protection and national health security.
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