Mathematical Modeling of Infectious Disease Dynamics
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Updated
Jun 14, 2024 - R
Mathematical Modeling of Infectious Disease Dynamics
An R package with over 50 highly cited, read-to-use, up-to-date COVID-19 pandemic data resources
Source code for the EpiEstim app.
COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics
Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖
R package developed as a companion to the book "R for Plant Disease Epidemiology" (R4PDE).
A general framework for quick epidemiological ABM models
Predict the coronavirus contagion
Tracking Monkeypox Virus (MPX) infections reported in the United States
"Slow recovery from a disease epidemic in the spotted hyena, a keystone social carnivore"
The pebble game: A simple game that can be used to understand epidemics and vaccination
An agent-based model to test the effect of different social-psychological aspects on the spread of epidemics
SEEDNet: Satellite Enhanced Epidemic Disease Network
The MetaWards R package. This supports easy install of MetaWards R bindings from GitHub
This repository contains the code and data required to perform the analysis for the manuscript https://doi.org/10.1101/2021.09.22.21256632
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