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ZENODO
Software . 2022
License: CC BY
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ZENODO
Software . 2022
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Repo for Leech & Rogers-Smith et al (2021), "Mass mask-wearing is associated with reduced COVID-19 transmission"

Authors: Leech, Gavin; Rogers-Smith, Charlie; Mrinank Sharma;

Repo for Leech & Rogers-Smith et al (2021), "Mass mask-wearing is associated with reduced COVID-19 transmission"

Abstract

by Charlie Rogers-Smith and Gavin Leech, based on the work of Brauner et al. Linux Installation git clone https://github.com/g-leech/masks_v_mandates.git Get Poetry. cd masks_v_mandates poetry install cd data/raw wget https://www.gstatic.com/covid19/mobility/Global_Mobility_Report.csv wget https://www.gstatic.com/covid19/mobility/Region_Mobility_Report_CSVs.zip unzip Region_Mobility_Report_CSVs.zip rm Region_Mobility_Report_CSVs.zip wget https://github.com/OxCGRT/covid-policy-tracker/blob/master/data/OxCGRT_latest.csv python ../../scripts/pull_from_umd_api.py cd ../.. Run poetry shell python scripts/produce_master_model_data.py mkdir pickles python3 scripts/main_model_runner.py --model="cases" --masks="wearing" --mob="include" python3 scripts/main_model_runner.py --model="cases" --masks="mandate" --mob="include" After about 6 hours, this will produce two posterior traces in pickles which can be loaded and visualised with model_check_and_viz, changing the filenames in Load pickles. Datasets The data used is from the following sources. National nonpharmaceutical interventions: OxCGRT. National confirmed case counts: Johns Hopkins CSSE via OxCGRT. World mask wearing survey: UMD / Facebook US mask wearing survey: Rader (2021) National mobility index: Google Mobility Reports

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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