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Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown.
Kirchner, Thomas; Jiang, Haoran; Gao, Hong; Kabutaulaka, Germaine; Cheong, Darlene; Jiang, Yungi; Khan, Aseah; Qiu, Weiyi; Tai, Nikki; Truong, Tiffany; Virk, Maimunah; Gmelch, Peter; Carey, Chris; Laefer, Debra.
Afiliação
  • Kirchner T; Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA. tom.kirchner@nyu.edu.
  • Jiang H; Center for Data Science, New York University, New York, NY, USA.
  • Gao H; Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA.
  • Kabutaulaka G; Department of Epidemiology, School of Global Public Health, New York University, New York, NY, USA.
  • Cheong D; Department of Biology, New York University, New York, NY, USA.
  • Jiang Y; Tandon School of Engineering, New York University, New York, NY, USA.
  • Khan A; Department of Biology, New York University, New York, NY, USA.
  • Qiu W; Courant Institute of Mathematical Sciences, New York University, New York, NY, USA.
  • Tai N; Courant Institute of Mathematical Sciences, New York University, New York, NY, USA.
  • Truong T; College of Arts and Science, New York University, New York, NY, USA.
  • Virk M; College of Arts and Science, New York University, New York, NY, USA.
  • Gmelch P; Center for Urban Science and Progress, Tandon School of Engineering, New York University, New York, NY, USA.
  • Carey C; Center for Urban Science and Progress, Tandon School of Engineering, New York University, New York, NY, USA.
  • Laefer D; Center for Urban Science and Progress, Tandon School of Engineering, New York University, New York, NY, USA. debra.laefer@nyu.edu.
Sci Data ; 10(1): 795, 2023 11 11.
Article em En | MEDLINE | ID: mdl-37951944

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article