Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783686162200657920 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8084489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT meredithhannahr coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT arehartemerson coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT grantzkyrah coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT beamsalexander coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT sheetstheresa coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT nelsonrichard coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT zhangyue coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT vinikrussellg coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT barfussdarryl coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT pettitjacobc coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT mccaffreykeegan coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT dunnangelac coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT goodmichael coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT frattarolishannon coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT samorematthewh coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT lesslerjustin coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT leeelizabethc coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa AT keeganlindsayt coordinatedstrategyforamodelbaseddecisionsupporttoolforcoronavirusdiseaseutahusa |