Publications

[8] DOHYO JEONG, Delcher, C., & Harris, D. (2026). Cold Exposure and Urban Opioid Risk: A Spatial Regression Discontinuity Analysis in Chicago. Spatial and Spatio-temporal Epidemiology, 100812. https://doi.org/10.1016/j.sste.2026.100812

Research Topic: Environmental exposure impacts on opioid-related overdose deaths.
Design/Method: Spatial Regression Discontinuity Design.

[7] Ku, M., DOHYO JEONG, Lee, K. H., & Choi, S. (2026). A Spatial-Network Framework for Load Balancing and Patient Transfer Management During Emergencies. Disaster Medicine and Public Health Preparedness, 20, e123. https://doi.org/10.1017/dmp.2026.10391

Research Topic: Patient Transfer Network across Hospital Emergency Trauma Centers
Design/Method: Spatial Network Analysis.

[6] DOHYO JEONG, & Kim, D. (2025). Bridging Gaps or Widening Disparities? A Spatiotemporal Analysis of COVID‐19 Therapeutic Distribution Policies in Texas. The International Journal of Health Planning and Management. https://doi.org/10.1002/hpm.70045

Research Topic: Identifying medical resource supply and demand imbalance and determining factors
Design/Method: Spatial-Temporal Integrated Nested Laplace Approximations (INLA).

[5] DOHYO JEONG, Jessi Hanson-DeFusco, and Dohyeong Kim. (2022). Digital Mass Hysteria during Pandemics: A Case Study of Twitter Communication Patterns in the US during COVID-19 Period. Behavioral Sciences, 14(5), 389. https://doi.org/10.3390/bs14050389

Research Topic: Analysis of changes in public sentiment regarding vaccine supply policy
Design/Method: Text Sentiment Analysis and Interrupted Time Series Analysis.

[4] Hong, S., DOHYO JEONG, & Kim, P. (2024). Have offender demographics changed since the COVID-19 Pandemic? Evidence from money mules in South Korea. Journal of Criminal Justice, 91, 102156. https://doi.org/10.1016/j.jcrimjus.2024.102156

Research Topic: Exploring the Influence of the COVID-19 Pandemic on Crime Patterns
Design/Method: Interrupted Time Series Analysis.

[3] DOHYO JEONG., Kim, D., Mohiuddin, H., Kang, S., & Kim, S. (2023). Regional Disparity in the Educational Impact of COVID-19: A Spatial Difference-in-Difference Approach. Sustainability, 15(16), 12514. https://doi.org/10.3390/su151612514

Research Topic: Analyzing regional disparities in transitioning to online classes.
Design/Method: Spatial Difference-in-Difference

[2] Odusola, A. O., DOHYO JEONG, Malolan, C., Kim, D., Venkatraman, C., Kola-Korolo, O., … & Nwariaku, F. E. (2023). Spatial and temporal analysis of road traffic crashes and ambulance responses in Lagos state, Nigeria. BMC public health, 23(1), 2273. https://doi.org/10.1186/s12889-023-16996-8

Research Topic: Comparing traffic accident patterns based on time, and regional characteristics.
Design/Method: Geospatial mapping and Hotspot Analysis.

[1] Ogbudebe Chidubem, DOHYO JEONG, OdumeBethrand ….. (2023). Editorial Decision/Comments on “Identifying Hotspots of Tuberculosis in Nigeria using Early Warning Outbreak Recognition System: Retrospective Analysis of Implications for Active Case Finding Interventions. JMIR Public Health and Surveillance, 9 (1), e40311. https://publichealth.jmir.org/2023/1/e40311/

Research Topic: Evaluation of the effectiveness of tuberculosis early warning program
Design/Method: Kernel density and Getis-Ord Gi* Hot Spot Analyses.

Publications in Korea

[5] CHANG-JIN KIM, DOHYO JEONG, (2022). Factors Influencing Public Officials Innovative Behavior for Platform Governance. The Journal of Korea Policy Research. Vol.22 No.3: 141-171.

Research Topic: Analyzing innovation factors in public sector platform governance.
Design/Method: Platform governance and Factors influencing innovative behavior.

[4] DOHYO JEONG, Sangho Moon, SUHO BAE. (2019). Factors Affecting the Distribution of National Subsidies in Korean Local Governments: Focusing on Rhodes’ Power-Dependence Model. The Korea Journal of Policy Analysis and Management, Vol.29 No3: 21-53.

Research Topic: Factors in central subsidy allocation to local governments
Design/Method: Panel Corrected Standard Errors (PCSE) model and Prais-Winsten procedure.

[3] DOHYO JEONG, CHANG-JIN KIM, SUHO BAE. (2019). A Study on Determinants of Tax Attitude: Focusing on Slippery Slope Framework, Public Policy Review, Vol.33 No.3: 43-72.

Research Topic: Examining the Impact of Tax Compliance and Taxpayer Attitude
Design/Method: Decision tree model and neural network model.

[2] DOHYO JEONG, YOUNGKYU LEE, SEONGYOUNG JEONG. (2018). An Analysis of the Effect of the Tax Rate on the Financial Efficiency of Local Governments. The Korea Journal of Local Government Studies, Vol.22 No.3: 415-443.

Research Topic: Local Tax Flexibility and Fiscal Efficiency
Design/Method: Difference-in-Difference analysis, Panel Corrected Standard Errors model.

[1] Dae-yong Hyun, DOHYO JEONG, (2017). Analysis of differences in perception of administrative values among civil servants and general civil servants: Focused on Suwon City Government Officials. Suwon Research Institute. No. 12: 119-141.

Research Topic: Comparing administrative values between City officials and general civil servants.
Design/Method: Ordered Logit Model.

Conference Proceedings

[1] DOHYO JEONG, & Harris, D. R. (2026). Spatio-Temporal Modeling for Multi-County Opioid Overdose Surveillance: A Unified Graph Convolutional Framework. AMIA Summits on Translational Science Proceedings, 2026, 210.

Research Topic: A Generalized Spatiotemporal Prediction Model for Opioid-Involved Cases
Design/Method: Spatio-temporal Graph Convolutional Network (GCN)

Ongoing Paper

[4] DOHYO JEONG, Chris Delcher, Nick Anthonya, Daniel Harris, Daniel Harris. (2026). Neighborhood-Level Patterns in Bromazolam-involved Polysubstance Overdose Mortality.

Research Topic: Sociodemographic and Regional Effects on Bromazolam-Related Overdose Incidence Patterns.
Design/Method: Spatial Integrated Nested Laplace Approximations (INLA).

[3] DOHYO JEONG, Dohyeong Kim, Sunghwan Cho. (2026). Where and When? Predicting Emergency Medical Service Demands through Spatial-Temporal Graph Convolutional Networks.

Research Topic: Identification of medical resource imbalances and optimal allocation.
Design/Method: ST-Graph Convolutional Network and Maximal Covering Location Problem.

[2] DOHYO JEONG, Dohyeong Kim, Chang-jin Kim. (2026). Fiscal Forecast Errors in Public Health Expenditure: Based on a Spatial-Temporal Approach.

Research Topic: Identifying medical resource supply and demand imbalance and determining factors
Design/Method: Calculating Regional Variability, Spatial Regression Model.

[1] DOHYO JEONG, Dohyeong Kim, Okey Okuzu, Chidubem Ogbudebe. (2026). Beyond Distance: Does Geographical Accessibility for Tuberculosis Treatment Follow Supply, Demand or Both?

Research Topic: The impact of geographical accessibility on tuberculosis treatment initiation
Design/Method: Calculating the regional geographic accessibility, Generalized Linear Mixed Models

Conference Presentation

[6] DOHYO JEONG. (2025). Where and When? Predicting Emergency Medical Service Demands through Spatial-Temporal Graph Convolutional Networks. ASPA (American Society for Public Administration) 2025 Annual Conference. March. 2025.

[5] DOHYO JEONG. (2024). Beyond Distance: Does Geographical Accessibility for Tuberculosis Treatment Follow Supply, Demand or Both? APHA (American Public Health Association) 2024 Annual Conference. Nov. 2024.

[4] DOHYO JEONG. (2023). Differential Side Effects of COVID-19 Response Policies on the U.S. Labor Market: A Spatial-Temporal Analysis. APPAM (Association for Public Policy Analysis and Management) 2023 Annual Conference. Nov. 2023.

[3] DOHYO JEONG. (2023). The Patterns of COVID-19 Therapeutics Supply and Demand in Texas: A Spatial-Temporal INLA Approach. APHA (American Public Health Association) 2023 Annual Conference. Nov. 2023.

[2] DOHYO JEONG. (2023). Regional disparity in the uninsurance rate impact of COVID-19: a spatial machine learning approach. ASPA (American Society for Public Administration) 2023 Annual Conference. 21. March. 2023.

[1] DOHYO JEONG. (2023). Digital Mass Hysteria? during Pandemics: A Case Study of Twitter Communication Patterns in the US during COVID-19 Period. Conference On Public Process Research. 12. Jan. 2023.

Conference Presentation in Korea

[7] DOHYO JEONG. (2022). A comparison of the spread trend prediction model according to the government’s COVID-19 response policy change and its influence, 2022 Korean Public Administration International Conference. Korea. 22 June. 2022.

[6] DOHYO JEONG. (2021). The effect of the government’s vaccination management plan on the change of sentiment toward vaccines, 2021 Global Disastronomy Workshop. Texas. USA. 17 Dec. 2021.

[5] DOHYO JEONG, Chang-jin Kim. SUHO BAE. (2019). A Study on the Factors Affecting the Taxation Attitude of General Taxpayers. Korean Association for Local Government Studies Winter Conference. Seoul. KOREA. 14 Feb. 2019

[4] Chang-jin Kim. DOHYO JEONG, SUHO BAE. (2019). The Mediation Effect of Dispute Settlement System in the Perception of Regional Dispersion and Intergovernmental Relations. Korean Association for Local Government Studies Winter Conference. Seoul. KOREA. 14 Feb. 2019.

[3] DOHYO JEONG, YOUNGKYU LEE, SUHO BAE. (2018) An Analysis of the Effect of the Tax Rate on the Financial Efficiency of Local Governments. Korea Association of Local Administration Summer Joint Conference Chungcheong-do. KOREA. 20 Jul. 2018

[2] DOHYO JEONG. (2017). The Effects of Tax Recognition on the pros and cons of Welfare Policy. Seoul Association of Public Administration Fall Conference. Seoul. KOREA. 3 Nov. 2017

[1] Dae-yong Hyun, DOHYO JEONG. (2017). A Study on the Policy Diffusion of Local Government in Korea: focusing on Resident Participation Budget System. Korea Association of Local Administration Summer Joint Conference. Gyeonggi-do. KOREA. 18 Aug. 2017