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posepi2

Points of Significance: Adding realism to the SIR model for infectious disease epidemics

Points of Significance: The SEIRS model for infectious disease dynamics

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.

Interactive figures accompanying the column.

Points of Significance: Modeling infectious epidemics

Getting Started

Access remotely

Online interactive server

Running locally

Download R Studio and install packages.

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

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

Shiny app authors

Bugs and comments

Martin Krzywinski

Versions

v1.0.0

First public release.

v1.0.1

Updated links

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)

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