Impact of information and Lévy noise on stochastic COVID-19 epidemic model under real statistical data.

Liu, Peijiang; Huang, Lifang; Din, Anwarud; Huang, Xiangxiang

Liu, Peijiang; Huang, Lifang; Din, Anwarud; Huang, Xiangxiang.

Afiliação

Liu P; School of Statistics and Mathematics, Guangdong University of Finance and Economics, Big data and Educational Statistics Application Laboratory, Guangzhou, People's Republic of China.
Huang L; School of Statistics and Mathematics, Guangdong University of Finance and Economics, Guangzhou, People's Republic of China.
Din A; School of Statistics and Mathematics, Guangdong University of Finance and Economics, Big data and Educational Statistics Application Laboratory, Guangzhou, People's Republic of China.
Huang X; School of Statistics and Mathematics, Guangdong University of Finance and Economics, Guangzhou, People's Republic of China.

J Biol Dyn ; 16(1): 236-253, 2022 12.

Article em En | MEDLINE | ID: mdl-35341468

Assuntos

COVID-19; Epidemias; COVID-19/epidemiologia; Simulação por Computador; Humanos; Modelos Biológicos; Processos Estocásticos

Palavras-chave

Lévy jump; Stochastic COVID-19 model; extinction; information intervention; numerical simulation; persistence

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Limite: Humans Idioma: En Revista: J Biol Dyn Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article

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