Epiverse is a global collaborative working to develop a trustworthy data analysis ecosystem dedicated to getting ahead of the next public health crisis.
You may learn more about our tools and our work in progress by checking out the following links:
You can also pitch and discuss new project ideas with us! You can follow these links to find:
R package with classes and helper functions for working with epidemiological parameters and access to a library of epidemiological parameters for infectious diseases
Tutorials to learn reading, cleaning and validating case data, and converting line list data to incidence for visualizing epidemic curves.
Tutorials to learn accessing and analyzing social contact matrices, scenario modelling to simulate disease spread and investigate interventions, and modelling disease burden.
Tutorials to learn real-time analysis that includes accessing epidemiological delays, estimating transmission metrics, forecasting, and severity from aggregated incidence data, superspreading from line list and contact data, and simulating transmission chains.
A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
