CANMOD members are building models, algorithms, software and infrastructure for past and current public infectious disease data. Here we provide a curated list of these tools, as well as tools made by others that might be of interest.
List of tools created by CANMOD Members, as well as tools that are of particular relevance to CANMOD's initiatives and mission. More software by members of CANMOD and associated networks can be interactively explored here.
Bayesian SEIR Modelling for Multivariate COVID-19 Case Data.
Compartmental epidemic models for forecasting and analysis of infectious disease pandemics.
R package for fitting nonlinear mixed effects models of epidemic growth to disease incidence time series.
CovidSim models the transmission dynamics and severity of COVID-19 infections throughout a spatially and socially structured population over time.
A tool to estimate time varying instantaneous reproduction number during epidemics.
Not-for-profit organization building and maintaining open-source software for analyzing disease outbreaks and health emergencies.
List of ten most popular R packages in infectious disease modelling as measured by the pkgsearch package on 2021-06-09. Check out this short R script to reproduce, update, modify, or expand on these results.
Social Mixing Matrices for Infectious Disease Modelling
Infectious Disease Model Library and Utilities
Simulation-Based Inference Methods for Infectious Disease Models
Mathematical Modeling of Infectious Disease Dynamics
Infectious Disease Spread Models
Interactive Plotting for Mathematical Models of Infectious Disease Spread
Toolkits to Develop Individual-Based Models in Infectious Disease
Age-Structured Spatio-Temporal Models for Infectious Disease Counts
Estimation of Characteristics of Seasonal and Sporadic Infectious Disease Outbreaks Using Generalized Additive Modeling with Penalized Basis Splines
Small Helpers and Tricks for Epidemics Analysis