Estimating the Maximum Capacity of COVID-19 Cases Manageable per Day Given a Health Care System's Constrained Resources.

Giannakeas, Vasily; Bhatia, Deepit; Warkentin, Matthew T; Bogoch, Isaac I; Stall, Nathan M

Giannakeas, Vasily; Bhatia, Deepit; Warkentin, Matthew T; Bogoch, Isaac I; Stall, Nathan M.

Affiliation

Giannakeas V; Women's College Hospital, University of Toronto, and ICES, Toronto, Ontario, Canada (V.G.).
Bhatia D; University of Toronto, Toronto, Ontario, Canada (D.B.).
Warkentin MT; University of Toronto and Sinai Health System, Toronto, Ontario, Canada (M.T.W.).
Bogoch II; University of Toronto and University Health Network, Toronto, Ontario, Canada (I.I.B.).
Stall NM; Women's College Hospital, University of Toronto, and Sinai Health System, Toronto, Ontario, Canada (N.M.S.).

Ann Intern Med ; 173(5): 407-410, 2020 09 01.

Article in En | MEDLINE | ID: mdl-32298412

Subject(s)

Coronavirus Infections/epidemiology; Coronavirus Infections/therapy; Health Resources/statistics & numerical data; Hospital Bed Capacity/statistics & numerical data; Pneumonia, Viral/epidemiology; Pneumonia, Viral/therapy; Ventilators, Mechanical/supply & distribution; Betacoronavirus; COVID-19; Catchment Area, Health; Humans; Length of Stay/statistics & numerical data; Models, Statistical; Ontario/epidemiology; Pandemics; SARS-CoV-2

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia, Viral / Ventilators, Mechanical / Coronavirus Infections / Health Resources / Hospital Bed Capacity Type of study: Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Ann Intern Med Year: 2020 Type: Article

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