Citation
Meredith, Hannah R.; Arehart, Emerson; Grantz, Kyra H.; Beams, Alexander; Sheets, Theresa; Nelson, Richard; Zhang, Yue; Vinik, Russell G.; Barfuss, Darryl; & Pettit, Jacob C., et al. (2021). Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA. Emerging Infectious Diseases, 27(5), 1259-1265. PMCID: PMC8084489Abstract
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.URL
http://dx.doi.org/10.3201/eid2705.203075Reference Type
Journal ArticleYear Published
2021Journal Title
Emerging Infectious DiseasesAuthor(s)
Meredith, Hannah R.Arehart, Emerson
Grantz, Kyra H.
Beams, Alexander
Sheets, Theresa
Nelson, Richard
Zhang, Yue
Vinik, Russell G.
Barfuss, Darryl
Pettit, Jacob C.
McCaffrey, Keegan
Dunn, Angela C.
Good, Michael
Frattaroli, Shannon
Samore, Matthew H.
Lessler, Justin
Lee, Elizabeth C.
Keegan, Lindsay T.