# Epidemic Modeling **Entity class:** Mathematical and computational discipline ## Definition **Epidemic modeling** represents transmission, population states, contact structures, spatial and temporal variation, intervention, and uncertainty to explain and forecast infectious-disease outbreaks. Models range from compartmental ODE/PDE systems to network, agent-based, Bayesian, and data-assimilating systems. ## Relationships - **Oden project:** [[wiki/Machine-Learning-Assisted Real-Time Simulations and Uncertainty Quantifications for Infectious Disease Outbreaks|Bui-Thanh's 2020 real-time outbreak project]]. - **network concept:** [[wiki/Complex Contagion|Complex Contagion]] and [[wiki/Contact Tracing|Contact Tracing]]. - **methods:** parameter inference, [[wiki/Data Assimilation|Data Assimilation]], [[wiki/State Estimation|State Estimation]], and [[wiki/Uncertainty Quantification|Uncertainty Quantification]]. - **careful social transfer:** [[wiki/Ideological Transmission as Complex Contagion|Ideological Transmission as Complex Contagion]]. ## Sources / Provenance - [Oden Institute — Epidemic forecasting project, October 19, 2020](https://oden.utexas.edu/news-and-events/news/CONTEXTanBuiThanh/)