1 Laboratoire MESuRS, Conservatoire national des Arts et Métiers, Paris, France
2 Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France
3 Université Paris-Saclay, UVSQ, Inserm, CESP, Anti-infective evasion and pharmacoepidemiology team, Montigny-Le-Bretonneux, France
4 Unité PACRI, Institut Pasteur, Conservatoire national des Arts et Métiers, Paris, France
5 Université Paris Diderot, Sorbonne Paris Cité, Paris, France
6 Université de Rennes, EHESP, CNRS, Inserm, Arènes - UMR 6051, RSMS – U 1309, Rennes, France
7MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, United Kingdom
*These authors contributed equally
Corresponding author: Smith DRM ([email protected])
Smith DRM, Jijón S, Oodally A, et al. Sick leave due to COVID-19 during the first pandemic wave in France, 2020. Occupational and Environmental Medicine. Published Online First: 13 March 2023. doi: 10.1136/oemed-2022-108451
Covid-sick-leave
├── COVID19-sick-leaves_analysis.R
├── COVID19-sick-leaves_figures.R
├── Data
├── Plots
├── Plots_extras
├── Plots_uncorrected
├── Plots_uncorrected_extras
└── covid_absence.Rproj
- The main R files:
COVID19-sick-leaves_analysis.R
The main script where the analyses are conducted.COVID19-sick-leaves_figures.R
Reproduces the figures in the manuscript.covid_absence.Rproj
The R project.
- Data
This folder contains the files regarding data on:- Working population by age
- Age stratification of the population by region
- Sick leaves
- Symptomatic incidence
- Probability of having a close contact by age and by region
Of note, Socialcov data (the social contact survey) were shared via personal communication and thus we do not have the permission to share.
- Plots
This folder contains the figures of the main text and and the Supplementary material. - Plots_extras
This folder contains figures concerning the baseline analyses, that were not included in the main text. - Plots_uncorrected and Plots_uncorrected_extras
These folders contain the figures obtained from the analyses without the correction of the bias regarding the proportion of survey respondents that work remote (see Supplementary material, Section b.).