Forecasting COVID-19 Cases Based on Social Distancing in Maryland, USA: A Time-Series Approach.

Cruz-Cano, Raul; Ma, Tianzhou; Yu, Yifan; Lee, Minha; Liu, Hongjie

Cruz-Cano, Raul; Ma, Tianzhou; Yu, Yifan; Lee, Minha; Liu, Hongjie.

Afiliación

Cruz-Cano R; Department of Epidemiology and Biostatistics, University of Maryland, College Park, MarylandUSA.
Ma T; Department of Epidemiology and Biostatistics, University of Maryland, College Park, MarylandUSA.
Yu Y; Department of Epidemiology and Biostatistics, University of Maryland, College Park, MarylandUSA.
Lee M; Maryland Institute of Transportation, University of Maryland, College Park, MarylandUSA.
Liu H; Department of Epidemiology and Biostatistics, University of Maryland, College Park, MarylandUSA.

Disaster Med Public Health Prep ; 16(5): 1798-1801, 2022 10.

Article en En | MEDLINE | ID: mdl-34006343

Asunto(s)

COVID-19; Estados Unidos/epidemiología; Humanos; COVID-19/epidemiología; COVID-19/prevención & control; Distanciamiento Físico; Factores de Tiempo; Maryland/epidemiología; Pandemias/prevención & control; Predicción

Palabras clave

environmental exposure; public health; vital statistics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Disaster Med Public Health Prep Asunto de la revista: SAUDE PUBLICA Año: 2022 Tipo del documento: Article

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