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Jinha Yoon

Korea University · 環境科学

研究室紹介

Professor Jinha Yoon's research lab specializes in public health informatics and pharmacoepidemiology, focusing on leveraging large-scale health data to enhance vaccine safety surveillance and immunization outcomes. The lab develops advanced data linkage and federated analytics frameworks that integrate national claims databases, electronic health records, and immunization registries to detect rare or delayed adverse events following immunization. A central theme is the creation of real-time, population-level surveillance systems that support evidence-based public health decision-making in Korea and beyond. The lab also emphasizes data standardization, interoperability, and ethical data use in population health research.

vaccine safetyhealth data linkagepharmacoepidemiologypublic health informaticsimmunization surveillance

Research Overview

Papers
3
Total Citations
6
Papers (5y)
3
Primary Field
環境科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
3total
2014
2025
2026
Citations per year (5y)
6total
201420252026

Selected Papers

3
1
Article|6 citations·2014
Characteristics of hydrochemical variations and contaminant load during rainfall in an acid mine drainage-impacted watershed, Korea
Gijung Pak, Uijeon Hong, Minyoung Jung, Hwihyun Kim, Kyungjin Han, Kristine Joy B. Mallari, Sungho Kim, Y. Kim, J. Yoon
SJR Q3Desalination and Water Treatment
Environmental ChemistryEnvironmental Science
2
Article|0 citations·2025
Establishing an Active Vaccine Safety Surveillance System Using Large Scale Databases in Korea: Lessons and Scalable Insights for Global Application
J. Yoon, Eliel Nham, Yu Jung Choi, Min Joo Choi, Won Suk Choi, Young Kyung Yoon, Yu Bin Seo, Hakjun Hyun, Jung Yeon Heo, Jin-Soo Lee, Chung-Jong Kim, Ji Yun Noh
SJR Q2Journal of Korean Medical ScienceOA

Vaccines are highly effective, but rare or delayed adverse events following immunization (AEFIs) require post-licensure surveillance beyond clinical trials. Korea lacks a comprehensive, active, database-based framework, yet key assets exist: nationwide claims databases (National Health Insurance Service/Health Insurance Review and Assessment Service), the national immunization registry (Korea Disease Control and Prevention Agency's Immunization Registry Information System) for National Immunizat

HealthSocial Sciences
3
Article|0 citations·2026
Discriminating infectious and non-infectious fever after open craniotomy: a combined statistical and machine learning approach
Hyun Soo Kim, Ju‐Hyun Kim, Jinhoo Seok, Haewon Roh, Joonho Byun, Wonki Yoon, Jong Hyun Kim, Taek-Hyun Kwon, Inyong Jeong, Hwamin Lee, Hyunjun Jo, J. Yoon
SJR Q1Neurosurgical Review
Health InformaticsMedicine

Research Areas

Environmental ChemistryHealthHealth Informatics

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