Gecko: A time-series model for COVID-19 hospital admission forecasting

During the COVID-19 pandemic, concerns about hospital capacity in the United States led to a demand for models that forecast COVID-19 hospital admissions. These short-term forecasts were needed to support planning efforts by providing decision-makers with insight about future demands for health care...

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Detalles Bibliográficos
Autores principales: Panaggio, Mark J., Rainwater-Lovett, Kaitlin, Nicholas, Paul J., Fang, Mike, Bang, Hyunseung, Freeman, Jeffrey, Peterson, Elisha, Imbriale, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124631/
https://www.ncbi.nlm.nih.gov/pubmed/35636313
http://dx.doi.org/10.1016/j.epidem.2022.100580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124631/
https://www.ncbi.nlm.nih.gov/pubmed/35636313
http://dx.doi.org/10.1016/j.epidem.2022.100580

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