The COVID-19 Pandemic-Can open access modeling give us better answers more quickly?

Beth Allen, Mary; Mills, Michael; Mirsaeidi, Mehdi

Beth Allen, Mary; Mills, Michael; Mirsaeidi, Mehdi.

Beth Allen M; School of Public Health, University of Louisville, KY, USA.
Mills M; School of Public Health, University of Louisville, KY, USA.
Mirsaeidi M; Division of Pulmonary and Critical Care, University of Miami, Miami, FL, USA.

J Appl Clin Med Phys ; 21(6): 4-6, 2020 Jun.

Article in English | MEDLINE | ID: covidwho-457557

Subject(s)

Coronavirus Infections/epidemiology; Coronavirus Infections/physiopathology; Models, Theoretical; Pneumonia, Viral/epidemiology; Pneumonia, Viral/physiopathology; Access to Information; Algorithms; Betacoronavirus; COVID-19; Communicable Disease Control; Health Communication; Health Policy; Humans; Pandemics; Risk Factors; SARS-CoV-2; Software; United States

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Models, Theoretical Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: J Appl Clin Med Phys Journal subject: Biophysics Year: 2020 Document Type: Article Affiliation country: Acm2.12941

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