A chain binomial epidemic with asymptomatics motivated by COVID-19 modelling.

Lefèvre, Claude; Picard, Philippe; Simon, Matthieu; Utev, Sergey

Lefèvre, Claude; Picard, Philippe; Simon, Matthieu; Utev, Sergey.

Affiliation

Lefèvre C; Département de Mathématique, Université Libre de Bruxelles, Campus Plaine C.P. 210, 1050, Brussels, Belgium. claude.lefevre@ulb.be.
Picard P; ISFA, LSAF EA2429, Univ Lyon, Université Lyon 1, 50 Avenue Tony Garnier, 69007, Lyon, France.
Simon M; Departament de Matemàtica Econòmica, Financera i Actuarial, Universitat de Barcelona, 690 Avinguda Diagonal, 08034, Barcelona, Spain.
Utev S; Département de Mathématique, Université de Mons, 20 Place du Parc, 7000, Mons, Belgium.

J Math Biol ; 83(5): 54, 2021 11 01.

Article in En | MEDLINE | ID: mdl-34725739

Subject(s)

COVID-19; Epidemics; Basic Reproduction Number; Disease Susceptibility; Humans; Models, Biological; SARS-CoV-2

Key words

Approximation by branching; Final population state; Reproduction number; Symptomatic infected or not; Testing and vaccination

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Math Biol Year: 2021 Document type: Article Affiliation country: Belgium Country of publication: Germany

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