Model

CMS enables you to construct a stochastic compartmental model using a variety of different solvers.

Covasim is a stochastic agent-based simulator designed to be used for COVID-19 (novel coronavirus, SARS-CoV-2) epidemic analyses.

The COVID Health Systems model is intended to make projections for the number of AAC and ICU hospital beds needed for COVID-19 patients and to estimate the patient waiting time for those beds. It provides a graphical UI using the SIMUL8 platform.

EMOD simulates the spread of disease to help determine the combination of health policies and intervention strategies that can lead to disease eradication. EMOD is a stochastic, mechanistic, agent-based model that simulates the actions and interactions of individuals within geographic areas to understand the disease dynamics in a population over time.

FPsim is designed as an open-source tool for family planning research.

HPVsim is a flexible agent-based model that can be parameterized with country-specific vital dynamics, structured sexual networks, co-transmitting HPV genotypes, B- and T-cell mediated immunity, and high-resolution disease natural history.

PACE-HRH simulates the healthcare needs of a given population so you can more effectively plan what healthcare worker resources will be necessary to provide a wide range of healthcare services. The model is configured via Excel sheets and run via an R script.

RAINIER is a statistical approach for fitting SEIR epidemic models to case and mortality data. We use the approach to create models of COVID-19 transmission in King County, WA