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Points of Significance: Uncertainty and the modelling and management of infectious epidemics

Points of Significance: Uncertainty and the management of epidemics

Katriona Shea¹, Ottar Bjørnstad¹𝄒², 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: Uncertainty and the modelling and management of infectious epidemics

Getting Started

Access remotely

Online interactive server

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 clicking Run App.

Shiny app authors

Bugs and comments

Martin Krzywinski

Versions

v1.0.0

First public release.

Citation

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)

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.