Published May 13, 2020
| Version 1.1
Software
Open
Code and data for: Estimating the burden of SARS-CoV-2 in France
Creators
- 1. Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France ; 2. Department of Genetics, University of Cambridge, Cambridge, UK
- 2. Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France ; Sorbonne Université, Collège Doctoral, Paris, France
Contributors
- 1. Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France
- 2. DREES, Ministère des Solidarités et de la Santé, Paris, France
- 3. Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France ; Santé Publique France, French National Public Health Agency, Saint-Maurice, France
- 4. Santé Publique France, French National Public Health Agency, Saint-Maurice, France
- 5. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- 6. Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France ; PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France
- 7. Epidemiology and Modelling of Antibiotic Evasion Unit, Institut Pasteur, Paris, France ; Anti-infective evasion and pharmacoepidemiology team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France
- 8. 11. Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM,Paris, France
Description
Code used for the inference of the probability of hospitalization and death by age and sex and the implementation and calibration of the transmission model of COVID-19 in the french population (Salje et al., Science, 2020).
Aggregated hospitalization data for France used for the calibration of those models are also made available.
Notes
Update to account for patients outcome on the Diamond Princess cruise ship.
Files
covidburdenfrance-master-v1.1.zip
Files
(102.1 kB)
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Additional details
Related works
- Is cited by
- Journal article: 10.1126/science.abc3517 (DOI)