McLaren, Zoe2022-10-142022-10-142022-10-14McLaren, 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.https://doi.org/10.1016/j.medj.2022.09.006http://hdl.handle.net/11603/26190The 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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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 context4 pagesen-USThis 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.Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)Access to this item will begin on 09-22-2023Data-driven COVID-19 policy is more effective than a one-size-fits-all approachText