Linking dynamic patterns of COVID-19 spreads in Italy with regional characteristics: a two level longitudinal modelling approach.

Hao, Youtian; Yan, Guohua; Ma, Renjun; Hasan, M Tariqul

Hao, Youtian; Yan, Guohua; Ma, Renjun; Hasan, M Tariqul.

Afiliação

Hao Y; Department of Mathematics and Statistics, University of New Brunswick, P.O. Box 4400, Fredericton, NB, E3B 5A3, Canada.
Yan G; Department of Mathematics and Statistics, University of New Brunswick, P.O. Box 4400, Fredericton, NB, E3B 5A3, Canada.
Ma R; Department of Mathematics and Statistics, University of New Brunswick, P.O. Box 4400, Fredericton, NB, E3B 5A3, Canada.
Hasan MT; Department of Mathematics and Statistics, University of New Brunswick, P.O. Box 4400, Fredericton, NB, E3B 5A3, Canada.

Math Biosci Eng ; 18(3): 2579-2598, 2021 03 16.

Article em En | MEDLINE | ID: mdl-33892561

Assuntos

COVID-19; Previsões; Humanos; Itália/epidemiologia; Modelos Estatísticos; SARS-CoV-2

Palavras-chave

daily confirmed cases; hierarchical model; novel coronavirus disease; temperature effect; turning point

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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