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

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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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...

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Detalles Bibliográficos
Autor principal: McLaren, Zoë M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492509/
https://www.ncbi.nlm.nih.gov/pubmed/36206756
http://dx.doi.org/10.1016/j.medj.2022.09.006
Descripción
Sumario: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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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.

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