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Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA

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 modelin...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084489/
https://www.ncbi.nlm.nih.gov/pubmed/33900179
http://dx.doi.org/10.3201/eid2705.203075
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author 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.
author_facet 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.
author_sort Meredith, Hannah R.
collection PubMed
description 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.
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spelling pubmed-80844892021-05-11 Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA 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. Emerg Infect Dis Perspective 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. Centers for Disease Control and Prevention 2021-05 /pmc/articles/PMC8084489/ /pubmed/33900179 http://dx.doi.org/10.3201/eid2705.203075 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Perspective
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.
Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA
title Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA
title_full Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA
title_fullStr Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA
title_full_unstemmed Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA
title_short Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA
title_sort coordinated strategy for a model-based decision support tool for coronavirus disease, utah, usa
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084489/
https://www.ncbi.nlm.nih.gov/pubmed/33900179
http://dx.doi.org/10.3201/eid2705.203075
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