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Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model.
Panaggio, Mark J; Fang, Mike; Bang, Hyunseung; Armstrong, Paige A; Binder, Alison M; Grass, Julian E; Magid, Jake; Papazian, Marc; Shapiro-Mendoza, Carrie K; Parks, Sharyn E.
Afiliação
  • Panaggio MJ; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland.
  • Fang M; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland.
  • Bang H; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland.
  • Armstrong PA; Palantir Technologies, Denver, Colorado, United States of America.
  • Binder AM; Palantir Technologies, Denver, Colorado, United States of America.
  • Grass JE; Palantir Technologies, Denver, Colorado, United States of America.
  • Magid J; COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Papazian M; COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Shapiro-Mendoza CK; Palantir Technologies, Denver, Colorado, United States of America.
  • Parks SE; Palantir Technologies, Denver, Colorado, United States of America.
PLoS One ; 18(10): e0292354, 2023.
Article em En | MEDLINE | ID: mdl-37792907
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article