Your browser doesn't support javascript.
Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA.
Emerg Infect Dis ; 27(5): 1259-1265, 2021 05.
Article in English | MEDLINE | ID: covidwho-1201255
ABSTRACT
The coronavirus disease pandemic has highlighted the key role epidemiologic models play in supporting public health decision-making. In particular, these models provide estimates of outbreak potential when data are scarce and decision-making is critical and urgent. We document the integrated modeling response used in the US state of Utah early in the coronavirus disease pandemic, which brought together a diverse set of technical experts and public health and healthcare officials and led to an evidence-based response to the pandemic. We describe how we adapted a standard epidemiologic model; harmonized the outputs across modeling groups; and maintained a constant dialogue with policymakers at multiple levels of government to produce timely, evidence-based, and coordinated public health recommendations and interventions during the first wave of the pandemic. This framework continues to support the state's response to ongoing outbreaks and can be applied in other settings to address unique public health challenges.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: Emerg Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: Emerg Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article