Using High Performance Algorithms for the Hybrid Simulation of Disease Dynamics on CPU and GPU. - Vasiliy N. Leonenko; Nikolai V. Pertsev; Marc Artzrouni (ICCS, 2015)

A Computational Approach to Investigate Patterns of Acute Respiratory Illness Dynamics in the Regions with Distinct Seasonal Climate Transitions. - Vasiliy N. Leonenko; Sergei V. Ivanov 002; Yulia Novoselova (ICCS, 2016)

Influenza peaks forecasting in Russia: assessing the applicability of statistical methods. - Vasiliy N. Leonenko; Klavdiya O. Bochenina; Sergey Kesarev (ICCS, 2017)

Spatial Modeling of Influenza Outbreaks in Saint Petersburg Using Synthetic Populations. - Vasiliy N. Leonenko; Alexander Lobachev; Georgiy V. Bobashev (ICCS (1), 2019)

Using synthetic populations to understand geospatial patterns in opioid related overdose and predicted opioid misuse. - Savannah Bates; Vasiliy N. Leonenko; James Rineer; Georgiy V. Bobashev (Comput. Math. Organ. Theory, 2019)

Analyzing the Spatial Distribution of Acute Coronary Syndrome Cases Using Synthesized Data on Arterial Hypertension Prevalence. - Vasiliy N. Leonenko (ICCS (4), 2020)

Contact patterns and influenza outbreaks in Russian cities: A proof-of-concept study via agent-based modeling. - Vasiliy N. Leonenko; Sviatoslav Arzamastsev; Georgiy V. Bobashev (J. Comput. Sci., 2020)

Towards Cost-Effective Treatment of Periprosthetic Joint Infection: From Statistical Analysis to Markov Models. - Yulia E. Kaliberda; Vasiliy N. Leonenko; Vasiliy A. Artyukh (ICCS (3), 2021)

Modeling Co-circulation of Influenza Strains in Heterogeneous Urban Populations: The Role of Herd Immunity and Uncertainty Factors. - Vasiliy N. Leonenko (ICCS (3), 2021)

A Modeling Framework for Decision Support in Periprosthetic Joint Infection Treatment. - Vasiliy N. Leonenko; Yulia E. Kaliberda; Vasiliy A. Artyuk (pHealth, 2021)

A Hybrid Modeling Framework for City-Scale Dynamics of Multi-strain Influenza Epidemics. - Vasiliy N. Leonenko (ICCS (3), 2022)

Does Complex Mean Accurate: Comparing COVID-19 Propagation Models with Different Structural Complexity. - Israel Huaman; Vasiliy N. Leonenko (ICCS (3), 2023)

Accounting for Data Uncertainty in Modeling Acute Respiratory Infections: Influenza in Saint Petersburg as a Case Study. - Kseniya Sahatova; Aleksandr Kharlunin; Israel Huaman; Vasiliy N. Leonenko (ICCS (3), 2023)

The Past Helps the Future: Coupling Differential Equations with Machine Learning Methods to Model Epidemic Outbreaks. - Yulia Abramova; Vasiliy N. Leonenko (ICCS (4), 2024)

Lightweight Heterogeneous SEIR Models for Epidemic Surveillance in Russian Cities: Turning Synthetic Populations Into Equations. - Andrey Korzin; Vasiliy N. Leonenko (ICCS (Workshops 2), 2025)

Predicting Disease Transmission Rates for Hybrid Modeling of Epidemic Outbreaks: Statistical and Machine Learning Approaches. - Maria Koshkareva; Elizabetty Guseva; Alyona Sharova; Vasiliy N. Leonenko (ICCS (Workshops 2), 2025)