Ndairou2020 - early-stage transmission dynamics of COVID-19 in Wuhan
Ontology highlight
ABSTRACT:
DISEASE(S): Covid-19
SUBMITTER: 
Kausthubh Ramachandran
PROVIDER: BIOMD0000000958 | BioModels | 2024-09-02
REPOSITORIES: BioModels
Dataset's files
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| BIOMD0000000958?filename=Ndairou2020.cps | Other | |||
| BIOMD0000000958?filename=Ndairou2020.omex | Other | |||
| BIOMD0000000958?filename=Ndairou2020.sedml | Other | |||
| BIOMD0000000958?filename=Ndairou2020.xml | Xml |
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Publications
Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan.
Ndaïrou Faïçal F Area Iván I Nieto Juan J JJ Torres Delfim F M DFM
Chaos, solitons, and fractals 20200427
We propose a compartmental mathematical model for the spread of the COVID-19 disease with special focus on the transmissibility of super-spreaders individuals. We compute the basic reproduction number threshold, we study the local stability of the disease free equilibrium in terms of the basic reproduction number, and we investigate the sensitivity of the model with respect to the variation of each one of its parameters. Numerical simulations show the suitability of the proposed COVID-19 model f ...[more]
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