Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.

There is a newer version of the record available.

Published May 15, 2020 | Version v1.0
Dataset Open

Data and code release for Carleton, Cornetet, Huybers, Meng & Proctor (preprint, 2020), "Ultraviolet radiation decreases COVID-19 growth rates: Global causal estimates and seasonal implications"

  • 1. University of Chicago
  • 2. Ecole Normale Superieure Paris-Saclay
  • 3. Harvard University
  • 4. University of California, Santa Barbara
  • 1. University of Chicago
  • 2. Ecole Normale Superieure Paris-Saclay
  • 3. Harvard University
  • 4. University of California, Santa Barbara

Description

This upload contains all replication material for "Ultraviolet radiation decreases COVID-19 growth rates: Global causal estimates and seasonal implications" (preprint). Please note that this manuscript is under review and the data and code are likely to change (updated versions will be uploaded to Zenodo as soon as they are available). 

Authors: Tamma Carleton, Jules Cornetet, Peter Huybers, Kyle C. Meng, Jonathan Proctor.

Code is located within CCHMP_covid_climate_code_release.zip, and is written in R, Stata, and Matlab. The working directory should be set to the repository folder at the top of each script.

Please find the code needed to replicate the main findings of the paper described below:

  • Plots of data: R and Stata scripts to make figures 1B, S1, S2, S3, S4 and S13 can be found within “code/analysis/data_plots/”.
  • Regression analysis: Stata scripts to run the distributed lag regressions and plot the results in figures 2, S6, S7, S8 and S9 can be found within “code/analysis/regressions/”
  • Seasonal simulations: R and Stata scripts to replicate the seasonal simulation shown in figures 3, S5 and S10 can be found within “code/analysis/seasonal_sim/”.
  • SEIR simulations: Matlab scripts to replicate the SEIR simulations shown in figures S11 and S12 can be found within “code/analysis/SEIR/”.

Data are located within CCHMP_covid_climate_data_release.zip.

Files

CCHMP_covid_climate_code_release.zip

Files (445.8 MB)

Name Size Download all
md5:64f2dd5a36f1929c7650fcec5938dc2f
37.1 MB Preview Download
md5:6c482bf2a71fda684f355f9fb5d13d55
408.7 MB Preview Download

Additional details

Related works

Is cited by
Preprint: http://ssrn.com/abstract=3588601 (URL)

References

  • Carleton et al., (preprint, 2020). Ultraviolet radiation decreases COVID-19 growth rates: Global causal estimates and seasonal implications. http://ssrn.com/abstract=3588601