From Policy to Prediction: Forecasting COVID-19 Dynamics Under Imperfect Vaccination.

Wang, Xiunan; Wang, Hao; Ramazi, Pouria; Nah, Kyeongah; Lewis, Mark

Wang, Xiunan; Wang, Hao; Ramazi, Pouria; Nah, Kyeongah; Lewis, Mark.

Afiliación

Wang X; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
Wang H; Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN, 37403, USA.
Ramazi P; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada. hao8@ualberta.ca.
Nah K; Department of Mathematics and Statistics, Brock University, St. Catharines, ON, L2S 3A1, Canada.
Lewis M; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.

Bull Math Biol ; 84(9): 90, 2022 07 20.

Article en En | MEDLINE | ID: mdl-35857207

Asunto(s)

COVID-19; COVID-19/epidemiología; COVID-19/prevención & control; Humanos; Conceptos Matemáticos; Modelos Biológicos; Política Pública; Estudios Retrospectivos; Vacunación

Palabras clave

COVID-19 modeling; Generalized boosting machine learning model; Inverse method; Non-pharmaceutical interventions; Vaccination

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bull Math Biol Año: 2022 Tipo del documento: Article País de afiliación: Canadá

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