dc.contributor.author | García Bulle, Bernardo | |
dc.contributor.author | Shen, Dennis | |
dc.contributor.author | Shah, Devavrat | |
dc.contributor.author | Hosoi, Anette E | |
dc.date.accessioned | 2022-07-20T13:51:39Z | |
dc.date.available | 2022-07-20T13:51:39Z | |
dc.date.issued | 2022-04-05 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/143878 | |
dc.description.abstract | <jats:title>Significance</jats:title>
<jats:p>Using data from 2020, we measure the public health impact of allowing fans into sports stadiums during the COVID-19 pandemic; these results may inform future policy decisions regarding large outdoor gatherings during public health crises. Second, we demonstrate the utility of robust synthetic control in this context. Synthetic control and other statistical approaches may be used to exploit the underlying low-dimensional structure of the COVID-19 data and serve as useful instruments in analyzing the impact of mitigation strategies adopted by different communities. As with all statistical methods, reliable outcomes depend on proper implementation strategies and well-established robustness tests; in the absence of these safeguards, these statistical methods are likely to produce specious or misleading conclusions.</jats:p> | en_US |
dc.language.iso | en | |
dc.publisher | Proceedings of the National Academy of Sciences | en_US |
dc.relation.isversionof | 10.1073/pnas.2114226119 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | PNAS | en_US |
dc.title | Public health implications of opening National Football League stadiums during the COVID-19 pandemic | en_US |
dc.type | Article | en_US |
dc.identifier.citation | García Bulle, Bernardo, Shen, Dennis, Shah, Devavrat and Hosoi, Anette E. 2022. "Public health implications of opening National Football League stadiums during the COVID-19 pandemic." Proceedings of the National Academy of Sciences, 119 (14). | |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | |
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 |
dc.date.updated | 2022-07-20T13:47:43Z | |
dspace.orderedauthors | García Bulle, B; Shen, D; Shah, D; Hosoi, AE | en_US |
dspace.date.submission | 2022-07-20T13:47:45Z | |
mit.journal.volume | 119 | en_US |
mit.journal.issue | 14 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |