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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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
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author McLaren, Zoë M.
author_facet McLaren, Zoë M.
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description 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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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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spelling pubmed-94925092022-09-22 Data-driven COVID-19 policy is more effective than a one-size-fits-all approach McLaren, Zoë M. Med (N Y) Commentary 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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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. Elsevier Inc. 2022-10-14 2022-09-22 /pmc/articles/PMC9492509/ /pubmed/36206756 http://dx.doi.org/10.1016/j.medj.2022.09.006 Text en © 2022 Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Commentary
McLaren, Zoë M.
Data-driven COVID-19 policy is more effective than a one-size-fits-all approach
title Data-driven COVID-19 policy is more effective than a one-size-fits-all approach
title_full Data-driven COVID-19 policy is more effective than a one-size-fits-all approach
title_fullStr Data-driven COVID-19 policy is more effective than a one-size-fits-all approach
title_full_unstemmed Data-driven COVID-19 policy is more effective than a one-size-fits-all approach
title_short Data-driven COVID-19 policy is more effective than a one-size-fits-all approach
title_sort data-driven covid-19 policy is more effective than a one-size-fits-all approach
topic Commentary
url 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
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