Interactive Plotting for Mathematical Models of Infectious Disease Spread
Model help
Get default initial conditions
Get model display names
Get default parameters
Plot model output. This function plots the output of a fitted model da...
Solve equations
Launch a shiny-app simulating the seasonal SEIR model
Launch a shiny-app simulating the SEIRS model
SIR model
SIR model with demography
SIRS model
SIRS model with demography
SIRS model with vaccination at birth
SIR model with vaccination at birth
SIS model
SIS model with demography
Solve equations
Provides interactive plotting for mathematical models of infectious disease spread. Users can choose from a variety of common built-in ordinary differential equation (ODE) models (such as the SIR, SIRS, and SIS models), or create their own. This latter flexibility allows 'shinySIR' to be applied to simple ODEs from any discipline. The package is a useful teaching tool as students can visualize how changing different parameters can impact model dynamics, with minimal knowledge of coding in R. The built-in models are inspired by those featured in Keeling and Rohani (2008) <doi:10.2307/j.ctvcm4gk0> and Bjornstad (2018) <doi:10.1007/978-3-319-97487-3>.