View on GitHub

posepi1

Points of Significance: Modeling infectious epidemics

Points of Significance: Modeling infectious epidemics

Ottar Bjørnstad1,2, Katriona Shea1, Martin Krzywinski3*, Naomi Altman4
  1. Department of Biology, The Pennsylvania State University, State College, PA, USA.
  2. Department of Entomology, The Pennsylvania State University, State College, PA, USA.
  3. Canada’s Michael Smith Genome Sciences Center, Vancouver, British Columbia, Canada.
  4. Department of Statistics, The Pennsylvania State University, State College, PA, USA.

Explore interactive figures or download the code accompanying the column.

Points of Significance: Modeling infectious epidemics

Getting Started

Access remotely

Online interactive server

Downloading code

GitHub repository

Running locally

Download R Studio and install packages.

install.packages(c("shiny","deSolve","ggplot2","grid","tidyverse","stringr","shinyjs","shinyWidgets"))

Run the app by loading app.R and cliking Run App.

Shiny app authors

Bugs and comments

Martin Krzywinski

Versions

v1.0.0

Initial release.

v1.0.1

Minor text changes and fixed typos.

v1.0.2

UI tweaks.

v1.0.3

Added link to SEIRS column.

Citation

Bjørnstad, O., Shea, K., Krzywinski, M. & Altman, N. Points of Significance: Modelling infectious epidemics (2020) Nature Methods 17:455-456. (interactive figures, download code)

Bjørnstad, O., Shea, K., Krzywinski, M. & Altman, N. Points of Significance: The SEIRS model for infectious disease dynamics (2020) Nature Methods 17:557-558. (interactive figures, download code)

License

This project is licensed under the https://creativecommons.org/licenses/by-nc/4.0/ - see the LICENSE file for details.