Points of Significance: The SEIRS model for infectious disease dynamics
Ottar Bjørnstad¹𝄒², Katriona Shea¹, Martin Krzywinski³, Naomi Altman⁴
- Department of Biology, The Pennsylvania State University, State College, PA, USA.
- Department of Entomology, The Pennsylvania State University, State College, PA, USA.
- Canada’s Michael Smith Genome Sciences Center, Vancouver, British Columbia, Canada.
- Department of Statistics, The Pennsylvania State University, State College, PA, USA.
Interactive figures accompanying the column.
Getting Started
Access remotely
Running locally
Download R Studio and install packages.
install.packages(c("shiny","shinyjs","shinyWidgets","deSolve","ggplot2","stringr","tidyverse"))
Run the app by loading app.R
and cliking Run App
.
Shiny app authors
-
Martin Krzywinski Coding -
Ottar Bjørnstad Code template and tips
Bugs and comments
Versions
v1.0.0
First public release.
v1.0.1
Updated links.
v1.0.2
Added link to uncertainty and management column.
Citation
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)
Related Columns
Bjørnstad, O., Shea, K., Krzywinski, M. & Altman, N. Points of Significance: Modelling infectious epidemics. (2020) Nature Methods 17:455-456. (interactive figures, download code)
Shea, K., Bjørnstad, O., Krzywinski, M. & Altman, N. Points of Significance: Uncertainty and the management of epidemics. (2020) Nature Methods 17 (in press). (interactive figures, download code)
License
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International Public License. See the LICENSE file for details.