Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19.

Ramos, A M; Vela-Pérez, M; Ferrández, M R; Kubik, A B; Ivorra, B

Ramos, A M; Vela-Pérez, M; Ferrández, M R; Kubik, A B; Ivorra, B.

Afiliação

Ramos AM; MOMAT Research Group, Interdisciplinary Mathematics Institute, Complutense University of Madrid, Spain.
Vela-Pérez M; MOMAT Research Group, Interdisciplinary Mathematics Institute, Complutense University of Madrid, Spain.
Ferrández MR; MOMAT Research Group, Interdisciplinary Mathematics Institute, Complutense University of Madrid, Spain.
Kubik AB; Supercomputing - Algorithms Research Group (SAL), Department of Computer Science, University of Almería, Spain.
Ivorra B; MOMAT Research Group, Interdisciplinary Mathematics Institute, Complutense University of Madrid, Spain.

Commun Nonlinear Sci Numer Simul ; 102: 105937, 2021 Nov.

Article em En | MEDLINE | ID: mdl-34188432

Palavras-chave

<ns0:math> <mi>Î¸</mi> </math>-SIR Type model; 501.V2; COVID-19 vaccines; SARS-CoV-2 variants; VOC 202012/01; effective reproduction number

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Commun Nonlinear Sci Numer Simul Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha

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