Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution)
DSAIDE: A package to learn about Dynamical Systems Approaches to Infec...
The main menu for the DSAIDE package
A helper function which processes and displays the documentation part ...
A helper function that produces a call to a simulator function for spe...
A helper function that takes simulation results and produces ggplot pl...
A helper function that takes simulation results and produces plotly pl...
A helper function that takes a model and generates shiny UI elements
A helper function that takes result from the simulators and produces t...
A function that runs an app for specific settings and processes result...
Characteristics of ID
Complex ID Control
Simulation of a compartmental infectious disease transmission model il...
Drug Resistance Evolution
Environmental Transmission model
Fitting a SIR-type model to flu data
Host Heterogeneity Model
Simulation of a compartmental infectious disease transmission model wi...
Simulation of a compartmental infectious disease transmission model to...
Simulation of a compartmental infectious disease transmission model in...
Simulation of a compartmental infectious disease transmission model il...
Simulation of a compartmental infectious disease transmission model to...
Simulation of a compartmental infectious disease transmission model wi...
Fitting a simple SIR type model to norovirus outbreak data
SEIRSd model
SIR model
SIR model
Simulation to illustrate parameter scan of the basic SIR model with bi...
Simulation to illustrate uncertainty and sensitivity analysis
SIRSd model
SIRSd model
Vector transmission model
Exploration of simulation models (apps) of various infectious disease transmission dynamics scenarios. The purpose of the package is to help individuals learn about infectious disease epidemiology (ecology/evolution) from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.
Useful links