Quantifying compliance with COVID-19 mitigation policies in the US: A mathematical modeling study.

Yamamoto, Nao; Jiang, Bohan; Wang, Haiyan

Yamamoto, Nao; Jiang, Bohan; Wang, Haiyan.

Afiliação

Yamamoto N; School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, 85287, USA.
Jiang B; School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA.
Wang H; School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ, 85069, USA.

Infect Dis Model ; 6: 503-513, 2021.

Article em En | MEDLINE | ID: mdl-33686377

Palavras-chave

COVID-19; Google Community Mobility Reports; Partial differential equation; Social distancing; Validation

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article