dc.contributor.author | Siegenfeld, Alexander F. | |
dc.contributor.author | Taleb, Nassim N. | |
dc.contributor.author | Bar-Yam, Yaneer | |
dc.date.accessioned | 2020-06-26T13:49:38Z | |
dc.date.available | 2020-06-26T13:49:38Z | |
dc.date.issued | 2020-06 | |
dc.identifier.issn | 0027-8424 | |
dc.identifier.issn | 1091-6490 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/125992 | |
dc.description.abstract | The coronavirus disease 2019 (COVID-19) pandemic, caused by the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has already claimed more than 470,000 deaths worldwide at the time of this writing (1) and is likely to claim many more. Models can help us determine how to stop the spread of the virus. | en_US |
dc.publisher | National Academy of Sciences | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1073/pnas.2011542117 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | PNAS | en_US |
dc.title | What models can and cannot tell us about COVID-19 | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Siegenfeld, Alexander F. et al. "What models can and cannot tell us about COVID-19." Proceedings of the National Academy of Sciences (June 2020). © 2020 National Academy of Sciences | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Physics | en_US |
dc.relation.journal | Proceedings of the National Academy of Sciences | 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 | 2020-06-26T12:04:24Z | |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Complete | |