mkiang/excess_external_deaths

Reproducible code for our JAMA IM paper on excess external deaths

Excess fatal drug overdoses in California during the COVID-19 pandemic by race/ethnicity, region, and educational attainment

This is reproducible code for our JAMA Internal Medicine research letter, “Racial and Ethnic Disparities in Excess Mortality from External Causes in the United States, March to December 2020”, which uses the data from CDC WONDER estimate excess deaths from external causes in the US. The full citation is:

Chen R, Aschmann HE, Chen Y, et al. Racial and Ethnic Disparities in Estimated Excess Mortality From External Causes in the US, March to December 2020. JAMA Internal Medicine. Published online May 09, 2022. doi:10.1001/jamainternmed.2022.1461

Issues

Please submit issues via Github or via email.

Requirements

All analyses are conducted using R, which can be downloaded via CRAN. We also recommend the use of RStudio when running R, which will allow users to take advantage of renv for dependency management.

Reproducibility

See ./session_info.txt for more reproducibility information. We use renv, which ensures users have the same version of each package.

Note that excess death estimates may not match exactly due to the bootstrapping procedure we used.

Authors (alphabetical)

• Hélène Aschmann (: @LnAschmann)
• Kirsten Bibbins-Domingo (: @KBibbinsDomingo)
• Ruijia Chen (: 2018Ruijia | : @RuijiaChen19)
• Yea-Hung Chen (: yea-hung | : @ch272n)
• Maria Glymour (: @MariaGlymour)
• Mathew Kiang (: mkiang | : @mathewkiang)
• Andrew Stokes (: @astokespop)

RC, Y-HC, and MVK equally contributed code used in this analysis.