Maxims for a Pandemic: Time, Distance, and Data. | Ann Intern Med;174(1): 111-112, 2021 01. | MEDLINE

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Maxims for a Pandemic: Time, Distance, and Data.

Koplan, Jeffrey; Ostroff, Samuel M; Mokdad, Ali H.

Koplan J; Emory University, Atlanta, Georgia (J.K.).
Ostroff SM; University of Washington, Seattle, Washington (S.M.O., A.H.M.).
Mokdad AH; University of Washington, Seattle, Washington (S.M.O., A.H.M.).

Ann Intern Med ; 174(1): 111-112, 2021 01.

Article in English | MEDLINE | ID: covidwho-1049180

Subject(s)

COVID-19; Pandemics; Computer Simulation; Humans; Physical Distancing; SARS-CoV-2; United States/epidemiology

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Ann Intern Med Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Ann Intern Med Year: 2021 Document Type: Article