Disentangling the rhythms of human activity in the built environment for airborne transmission risk

This repository provides the data and source code for the following study: Zachary Susswein, Eva Rest, Shweta Bansal. "Disentangling the rhythms of human activity in the built environment for airborne transmission risk". Elife, 2023. https://doi.org/10.7554/eLife.80466

Deriving the metric

In the deriving_indoor_activity_metric directory, we provide the code for deriving the indoor activity metric using the Safegraph Weekly Patterns data (which are available for researchers directly from Safegraph). We also provide the file of indoor/outdoor classifications that we derived for each Safegraph POI.

Data

Data on the indoor activity seasonality metric (\sigma) that we define in this work can be found in the indoor_activity_data directory. The indoor_activity_2018_2020.csv file contains weekly, county-level (fips) indoor activity estimates.

Analysis

Time series clustering

Python code for the time series clustering in this work can be found in the time_series_clustering directory.

Sinusoidal fits

R code for the sinusoidal fits in this work can be found in the sinusoidal_fit directory.