seir.app

<p>#' This launches an app running the SEIR model i.e. a model incorporating latency and seasonal forcing in transmission.</p>

datasets

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>.

Sinead E. Morris

shinySIR

Interactive Plotting for Mathematical Models of Infectious
Disease Spread

Ottar N. Bjornstad

seir.app function

<p>An object of class <code>shiny.appobj</code> of length 5.</p>

seir.app: Launch a shiny-app simulating the seasonal SEIR model

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