Boseung Choi
Mathematics · The Ohio State University
Publications
95
Citations
631
Est. group size
~3
Recurring co-author estimate
Active years
44
Publishing since 1983
Boseung Choi works on statistical and mathematical modeling of infectious disease dynamics, including COVID-19 spread, contact networks, and wastewater/seroprevalence-based surveillance. The research also extends to related quantitative methods such as Bayesian inference for gene regulatory networks and enzyme kinetics, and applied statistical analysis of time-series and environmental health data. Much of this work combines mathematical modeling with real-world epidemiological and biological data to improve estimation and forecasting methods.
Publication output has fluctuated over the last decade with peaks around 2019 and 2022, and has been relatively steady but modest (averaging under 5 papers/year) in the most recent five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Selection of the Travel Routes Using Dynamic Time Warping and Time-series Clustering Algorithms
The Korean Data Analysis Society · 2026
- Inferring contact network characteristics from epidemic data via compact mean-field models
Journal of Complex Networks · 2025
- Development and Application of a Flood Vulnerability Index Using Canonical Correlation Analysis
The Korean Data Analysis Society · 2025
- Dynamical survival analysis for epidemic modeling under partial observability: A case study of COVID-19 in Kenya
medRxiv · 2025
- Inference for stochastic reaction networks via logistic regression
arXiv (Cornell University) · 2025
- Overcoming bias in estimating epidemiological parameters with realistic history-dependent disease spread dynamics
Nature Communications · 2024
- Dynamic SARS-CoV-2 surveillance model combining seroprevalence and wastewater concentrations for post-vaccine disease burden estimates
Communications Medicine · 2024
- Immune-Modulating Lipid Nanomaterials for the Delivery of Biopharmaceuticals
Pharmaceutics · 2023
- Inferring delays in partially observed gene regulation processes
Bioinformatics · 2023
- Wastewater and seroprevalence for pandemic preparedness: variant analysis, vaccination effect, and hospitalization forecasting for SARS-CoV-2, in Jefferson County, Kentucky
medRxiv · 2023
- Relationship between freshwater harmful algal blooms and neurodegenerative disease incidence rates in South Korea
Environmental Health · 2022
- Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence
The Science of The Total Environment · 2022
- Combining Correlated P-values From Primary Data Analyses
International Journal of Statistics and Probability · 2022
- Modeling Incorporating the Severity-Reducing Long-term Immunity: Higher Viral Transmission Paradoxically Reduces Severe COVID-19 During Endemic Transition
Immune Network · 2022
- Inferring delays in partially observed gene regulatory networks
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- The Korean Data Analysis Society×8
- Journal of the Korean Data and Information Science Society×5
- bioRxiv (Cold Spring Harbor Laboratory)×4
- medRxiv×4
- Bioinformatics×3
- Grzegorz A. Rempała
Mathematics · The Ohio State University
- Guy Tchuente
Mathematics · Purdue University West Lafayette
- Eben Kenah
Mathematics · The Ohio State University
- Allisandra G. Kummer
Mathematics · Indiana University
- Alessandro Vespignani
Mathematics · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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