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Overview

Leveraging combinatorial building for ensemble forecasting in disease modelling

The power of combinations

diseasy is framework for disease modelling that is built around the philosophy of combinatorial building. Even from a small number of modules, an ensemble consisting of a vast array of disease models can be constructed by combining individual modules.

The power of ensembles

Ensemble models of disease spread typically outperforms individual models in terms of robust and accurate forecasts. With diseasy, ensemble models are leveraged to support evidence-based decision-making and pandemic preparedness.

Installation

# Install diseasy from CRAN:
install.packages("diseasy")

# Alternatively, install the development version from github:
# install.packages("devtools")
devtools::install_github("ssi-dk/diseasy")

Usage

For basic usage examples, see vignette("basic_principles").