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This repository contains the code to reproduce the results from "Vaccine Effectiveness Against Emerging COVID-19 Variants Using Digital Health Data".

License: GNU General Public License v3.0

Python 48.51% R 51.49%

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Code from: Vaccine Effectiveness Against Emerging COVID-19 Variants Using Digital Health Data

This repository contains the code to reproduce the results from "Vaccine Effectiveness Against Emerging COVID-19 Variants Using Digital Health Data". To access the data used in this study, please refer to the data availability statement in the manuscript.

The data_processing directory contains the Python code required to prepare the UMD-CTIS data for regression, the main_analyses directory contains the R code required to perform conditional logistic regression and count various outcomes, and the figures directory contains the R code required to generate the manuscript figures and results from the regression output.

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