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Controlling the spread of COVID-19 on college campuses.
Borowiak, Molly; Ning, Fayfay; Pei, Justin; Zhao, Sarah; Tung, Hwai-Ray; Durrett, Rick.
Afiliação
  • Borowiak M; Department of Mathematics, Duke University, P.O. Box 90320, Durham, NC 27708-0320, USA.
  • Ning F; Department of Mathematics, Duke University, P.O. Box 90320, Durham, NC 27708-0320, USA.
  • Pei J; Department of Mathematics, Duke University, P.O. Box 90320, Durham, NC 27708-0320, USA.
  • Zhao S; Department of Mathematics, Duke University, P.O. Box 90320, Durham, NC 27708-0320, USA.
  • Tung HR; Department of Mathematics, Duke University, P.O. Box 90320, Durham, NC 27708-0320, USA.
  • Durrett R; Department of Mathematics, Duke University, P.O. Box 90320, Durham, NC 27708-0320, USA.
Math Biosci Eng ; 18(1): 551-563, 2020 12 14.
Article em En | MEDLINE | ID: mdl-33525107
This research was done during the DOMath program at Duke University from May 18 to July 10, 2020. At the time, Duke and other universities across the country were wrestling with the question of how to safely welcome students back to campus in the Fall. Because of this, our project focused on using mathematical models to evaluate strategies to suppress the spread of the virus on campus, specifically in dorms and in classrooms. For dorms, we show that giving students single rooms rather than double rooms can substantially reduce virus spread. For classrooms, we show that moving classes with size above some cutoff online can make the basic reproduction number $ R_0 < 1 $, preventing a wide spread epidemic. The cutoff will depend on the contagiousness of the disease in classrooms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Características de Residência / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Math Biosci Eng Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Características de Residência / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Math Biosci Eng Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos