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

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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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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Veröffentlicht in:Med (New York, N.Y. : Online) N.Y. : Online), 2022-10, Vol.3 (10), p.660-663
1. Verfasser: McLaren, Zoë M
Format: Artikel
Sprache:eng
Schlagworte:
Centers for Disease Control and Prevention, U.S
COVID-19
Humans
Policy
United States - epidemiology
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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from the Centers for Disease Control and Prevention (CDC) discount the best data sources and rely too heavily on outdated, one-size-fits-all decision rules.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.
ISSN:2666-6340
2666-6359
2666-6340
DOI:10.1016/j.medj.2022.09.006