| dc.contributor.author | Jalali, Mohammad S | |
| dc.contributor.author | DiGennaro, Catherine | |
| dc.contributor.author | Sridhar, Devi | |
| dc.date.accessioned | 2020-11-02T17:49:11Z | |
| dc.date.available | 2020-11-02T17:49:11Z | |
| dc.date.issued | 2020-10 | |
| dc.identifier.issn | 2214-109X | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/128283 | |
| dc.publisher | Elsevier BV | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1016/s2214-109x(20)30447-2 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | The Lancet | en_US |
| dc.title | Transparency assessment of COVID-19 models | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Jalali, Mohammad S. et al. "Transparency assessment of COVID-19 models." Lancet Global Health (October 2020): dx.doi.org/10.1016/s2214-109x(20)30447-2 © 2020 The Authors | en_US |
| dc.contributor.department | Sloan School of Management | en_US |
| dc.relation.journal | Lancet Global Health | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.date.submission | 2020-11-02T13:49:52Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Complete | |
