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Social contact patterns among employees in 3 U.S. companies during early phases of the COVID-19 pandemic, April to June 2020.
Kiti, Moses C; Aguolu, Obianuju G; Liu, Carol Y; Mesa, Ana R; Regina, Rachel; Woody, Meaghan; Willebrand, Kathryn; Couzens, Chandra; Bartelsmeyer, Tilman; Nelson, Kristin N; Jenness, Samuel; Riley, Steven; Melegaro, Alessia; Ahmed, Faruque; Malik, Fauzia; Lopman, Ben A; Omer, Saad B.
  • Kiti MC; Emory University, Atlanta, GA, USA. Electronic address: mkiti@emory.edu.
  • Aguolu OG; Yale University, CT, USA.
  • Liu CY; Emory University, Atlanta, GA, USA.
  • Mesa AR; Emory University, Atlanta, GA, USA.
  • Regina R; Emory University, Atlanta, GA, USA.
  • Woody M; Emory University, Atlanta, GA, USA.
  • Willebrand K; Yale University, CT, USA.
  • Couzens C; Yale University, CT, USA.
  • Bartelsmeyer T; Yale University, CT, USA.
  • Nelson KN; Emory University, Atlanta, GA, USA.
  • Jenness S; Emory University, Atlanta, GA, USA.
  • Riley S; Imperial College London, London, UK.
  • Melegaro A; Bocconi University, Milan, Italy.
  • Ahmed F; Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Malik F; Yale University, CT, USA.
  • Lopman BA; Emory University, Atlanta, GA, USA.
  • Omer SB; Yale University, CT, USA.
Epidemics ; 36: 100481, 2021 09.
Article in English | MEDLINE | ID: covidwho-1272411
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
We measured contact patterns using online diaries for 304 employees of 3 U.S. companies working remotely. The median number of daily contacts was 2 (IQR 1-4); majority were conversation (55 %), occurred at home (64 %) and lasted >4 h (38 %). These data are crucial for modeling outbreak control among the workforces.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Limits: Humans Language: English Journal: Epidemics Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Limits: Humans Language: English Journal: Epidemics Year: 2021 Document Type: Article