Modelling of the nCoV-2019 outbreak in Wuhan, China, by Jon Read, Jess Bridgen, and Chris Jewell at Lancaster University.
-
Updated
Nov 30, 2020 - R
Modelling of the nCoV-2019 outbreak in Wuhan, China, by Jon Read, Jess Bridgen, and Chris Jewell at Lancaster University.
tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics
Code for reproducing the results from the preprint "Using early detection data to estimate the date of emergence of an epidemic outbreak".
Age-structured model for COVID 19 transmisison
Epidemic Models Estimation and Simulation
Code for modeling RSV resurgence following contact restrictions
The MetaWards R package. This supports easy install of MetaWards R bindings from GitHub
This repository contains reproducible research on an epidemiological model for understanding COVID-19 spreading rates, as part of the DTU Data Science course 22100: R for Bio Data Science
Add a description, image, and links to the epidemic-model topic page so that developers can more easily learn about it.
To associate your repository with the epidemic-model topic, visit your repo's landing page and select "manage topics."