Abstract
Original language | English |
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Article number | 915 |
Journal | Nature Communications |
Volume | 12 |
DOIs | |
Publication status | Published - 10 Feb 2021 |
Externally published | Yes |
Bibliographical note
AcknowledgementsWe thank all members of the COVID-19 International Modelling Consortium and their collaborative partners. This work was supported by the COVID-19 Research Response Fund, managed by the Medical Sciences Division, University of Oxford. L.J.W. is supported by the Li Ka Shing Foundation. R.A. acknowledges funding from the Bill and Melinda Gates Foundation (OPP1193472).
Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analysed during the current study. The sources for the estimates used in the analyses are listed in Table 1.Code availability
The code used to perform the sensitivity analysis can be found at https://github.com/ATOME-MORU/dexamethasone-/25 and is published under doi: 10.5281/zenodo.4302475. Anyone is free to download, edit and redistribute this code, within the terms of the Attribution-NonCommercial 4.0 International license. Figure 3 can be reproduced by running the code provided in the github repository.
Keywords
- Epidemiology
- Health care economics
- SARS-CoV-2
- Viral infection