Title:
Code and data for: Estimating the burden of SARS-CoV-2 in France
Type Software
Salje, Henrik, Tran Kiem, Cécile (2020): Code and data for: Estimating the burden of SARS-CoV-2 in France. Zenodo. Software. https://zenodo.org/record/3813815
Authors:
Salje, Henrik
(1. Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France ; 2. Department of Genetics, University of Cambridge, Cambridge, UK)
;
Tran Kiem, Cécile
(Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France ; Sorbonne Université, Collège Doctoral, Paris, France)
;
Lefrancq, Noémie
(Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France)
;
Courtejoie, Noémie
(DREES, Ministère des Solidarités et de la Santé, Paris, France)
;
Bosetti, Paolo
(Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France)
;
Paireau, Juliette
(Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France ; Santé Publique France, French National Public Health Agency, Saint-Maurice, France)
;
Andronico, Alessio
(Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France)
;
Hozé, Nathanaël
(Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France)
;
Richet, Jehanne
(DREES, Ministère des Solidarités et de la Santé, Paris, France)
;
Dubost, Claire-Lise
(DREES, Ministère des Solidarités et de la Santé, Paris, France)
;
Le Strat, Yann
(Santé Publique France, French National Public Health Agency, Saint-Maurice, France)
;
Lessler, Justin
(Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA)
;
Levy-Bruhl, Daniel
(Santé Publique France, French National Public Health Agency, Saint-Maurice, France)
;
Fontanet, Arnaud
(Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France ; PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France)
;
Opatowski, Lulla
(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)
;
Boëlle, Pierre-Yves
(11. Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM,Paris, France)
;
Cauchemez, Simon
(Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, France)
;
Links
Summary
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.
More information
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DOI:
10.5281/zenodo.3813815
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Language: en
Dates
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Publication date: 2020
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Issued: May 13, 2020
Rights
Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!
Format
electronic resource
Relateditems
Description | Item type | Relationship | Uri |
---|
| | IsCitedBy | https://doi.org/10.1126/science.abc3517 |
| | IsVersionOf | https://doi.org/10.5281/zenodo.3813814 |
| | IsPartOf | https://zenodo.org/communities/covid-19 |
| | IsPartOf | https://zenodo.org/communities/zenodo |