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kgostic authored Feb 22, 2020
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These scripts run the model and generate output from:
## These scripts run the model and generate output from:

Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19
Authors: Gostic, Gomez, Mumah, Kucharski, Lloyd-Smith.
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Model and methods adapted from Gostic KM, Kucharski AJ, Lloyd-Smith JO. (2015) eLife 4:e05564.


## Repository contents:
All code runs in R.
See script nCov_manuscript_plots.R for all analysis and plotting code.
See https://lloyd-smithlab.shinyapps.io/travelScreeningModel/ for an interactive version of the model.
Code for the shiny app is hosted elsewhere. These scripts generate figures shown in the manuscript.
* The nCov_manuscript_plots.R script runs all analyses and generates all plots and data outputs.
* .RData files contain raw, simulated data.
* "a" indicates outputs generated based on arrival screening only. "d" indicates departure screening only. "ad" indicates both.
* "flat" indicates outputs generated assuming a stable epidemic. Outputs without the "flat" flag were generated assuming a growing source epidemic.
* 2002_nCoV/ contains all plot and source data outputs.
* Source data .csv files contain processed data frames used to generate the corresponding plot.
* Plot names corresond to their ID in the manuscript (e.g. Fig. 3, Fig 3S1).

## See https://lloyd-smithlab.shinyapps.io/travelScreeningModel/ for an interactive Shiny app.
Code for the shiny app is hosted elsewhere. These scripts here generate figures shown in the manuscript.

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contact: kgostic [at] uchicago.edu

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