Data-driven COVID-19 policy is more effective than a one-size-fits-all approach

dc.contributor.authorMcLaren, Zoe
dc.date.accessioned2022-10-14T16:35:56Z
dc.date.available2022-10-14T16:35:56Z
dc.date.issued2022-10-14
dc.description.abstractThe latest COVID-19 guidelines from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules. Instead, the CDC should recommend data-driven guidelines, which are more accurate, adaptable, transparent about implicit tradeoffs, and tailored to the relevant contexten_US
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S266663402200407Xen_US
dc.format.extent4 pagesen_US
dc.genrejournal articlesen_US
dc.genrepostprintsen_US
dc.identifierdoi:10.13016/m2sv2b-nc9w
dc.identifier.citationMcLaren, Z.M., Data-driven COVID-19 policy is more effective than a one-size-fits-all approach, Med (2022), doi: https://doi.org/10.1016/j.medj.2022.09.006.en_US
dc.identifier.urihttps://doi.org/10.1016/j.medj.2022.09.006
dc.identifier.urihttp://hdl.handle.net/11603/26190
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC School of Public Policy Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Economics Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)*
dc.rightsAccess to this item will begin on 09-22-2023
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleData-driven COVID-19 policy is more effective than a one-size-fits-all approachen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-2515-9731en_US

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