Data-driven COVID-19 policy is more effective than a one-size-fits-all approach
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Author/Creator
Author/Creator ORCID
Date
2022-10-14
Type of Work
Department
Program
Citation of Original Publication
McLaren, 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.
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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Access to this item will begin on 09-22-2023
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Access to this item will begin on 09-22-2023
Subjects
Abstract
The 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too heavily on outdated, one-size-fits-all decision rules.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 context