danielmlow/covid19_argentina

Data and code for Torrente, F., Yoris, A., Low, D., Lopez, P., Bekinschtein, P., Vázquez, G. H., ... & Cetkovich, M. (2022). Psychological symptoms, mental fatigue and behavioural adherence after 72 continuous days of strict lockdown during the COVID-19 pandemic in Argentina. BJPsych open, 8(1).

1. Data

Available at ./data/input/

• Emotional symptoms COVID19_Arg_May20_v2_text.csv Main Dataset

• covid-stringency-index.csv For Figure 1 (obtained from https://ourworldindata.org/grapher/covid-stringency-index)

• population-by-country_worldbank.csv used to select certain countries to plot in Figure 1

Available at https://www.google.com/covid19/mobility/

• Global_Mobility_Report.csv For supplementary Figure S1

2. Reproduce

Google Colab

The .ipynb can run on Google Colab (for which data should be on Google Drive; code to load data from Google Drive is available in scripts) You can install packages with !pip install <package-name>

Jupyter Notebook

To run the .ipynb on Jupyter Notebook, open terminal, create a virtual environment and install the requirements.txt:

conda create --name covid_argentina --file requirements.txt
conda activate covid_argentina

Go to directory where you want to put this repo:

cd ./path/to/
git clone https://github.com/danielmlow/extract_opensmile.git
cd ./path/to/covid19_argentina/

Scripts

Contextual analysis: Figure 1, Table S1, Figure S1:

jupyter notebook stringency_mobility.ipynb

Regression analysis: Table 5:

jupyter notebook regression.ipynb