Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA
Autor: | Angela Dunn, Jacob C. Pettit, Kyra H. Grantz, Elizabeth C. Lee, Keegan McCaffrey, Lindsay T Keegan, Michael L Good, Matthew H. Samore, Darryl Barfuss, Shannon Frattaroli, Russell Vinik, Yue Zhang, Emerson Arehart, Alexander B. Beams, Hannah R. Meredith, Theresa Sheets, Richard E. Nelson, Justin Lessler |
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Rok vydání: | 2021 |
Předmět: |
Microbiology (medical)
medicine.medical_specialty Decision support system Epidemiology 030231 tropical medicine Psychological intervention Infectious and parasitic diseases RC109-216 Disease Disease Outbreaks respiratory infections 03 medical and health sciences 0302 clinical medicine Utah Political science Pandemic Health care medicine Humans viruses 030212 general & internal medicine Pandemics Government SARS-CoV-2 business.industry Public health COVID-19 Outbreak modeling Public relations zoonoses Infectious Diseases coronavirus disease Perspective Medicine business Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease Utah USA severe acute respiratory syndrome coronavirus 2 |
Zdroj: | Emerging Infectious Diseases, Vol 27, Iss 5, Pp 1259-1265 (2021) Emerging Infectious Diseases |
ISSN: | 1080-6059 1080-6040 |
Popis: | 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. |
Databáze: | OpenAIRE |
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