skip to main content
Idioma:
Primo Search
Clear Search Box
Search in: Busca Geral
Busca Avançada
Busca por Índices

Mathematical Model of COVID-19 Pandemic with Double Dose Vaccination

Peter, Olumuyiwa James ; Panigoro, Hasan S. ; Abidemi, Afeez ; Ojo, Mayowa M. ; Oguntolu, Festus Abiodun

Acta biotheoretica, 2023-06, Vol.71 (2), p.9-9, Article 9 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

Texto completo disponível

Citações Citado por
  • Título:
    Mathematical Model of COVID-19 Pandemic with Double Dose Vaccination
  • Autor: Peter, Olumuyiwa James ; Panigoro, Hasan S. ; Abidemi, Afeez ; Ojo, Mayowa M. ; Oguntolu, Festus Abiodun
  • Assuntos: Animals ; Computer Simulation ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - prevention & control ; COVID-19 vaccines ; Disease transmission ; Education ; Epidemic models ; Evolutionary Biology ; Immunization ; Mathematical models ; Models, Theoretical ; Ordinary differential equations ; Pandemics - prevention & control ; Philosophy ; Philosophy of Biology ; Regular ; Regular Article ; Sensitivity analysis ; Vaccination ; Vaccines
  • É parte de: Acta biotheoretica, 2023-06, Vol.71 (2), p.9-9, Article 9
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: This paper is concerned with the formulation and analysis of an epidemic model of COVID-19 governed by an eight-dimensional system of ordinary differential equations, by taking into account the first dose and the second dose of vaccinated individuals in the population. The developed model is analyzed and the threshold quantity known as the control reproduction number R 0 is obtained. We investigate the equilibrium stability of the system, and the COVID-free equilibrium is said to be locally asymptotically stable when the control reproduction number is less than unity, and unstable otherwise. Using the least-squares method, the model is calibrated based on the cumulative number of COVID-19 reported cases and available information about the mass vaccine administration in Malaysia between the 24th of February 2021 and February 2022. Following the model fitting and estimation of the parameter values, a global sensitivity analysis was performed by using the Partial Rank Correlation Coefficient (PRCC) to determine the most influential parameters on the threshold quantities. The result shows that the effective transmission rate ( α ) , the rate of first vaccine dose ( ϕ ) , the second dose vaccination rate ( σ ) and the recovery rate due to the second dose of vaccination ( η ) are the most influential of all the model parameters. We further investigate the impact of these parameters by performing a numerical simulation on the developed COVID-19 model. The result of the study shows that adhering to the preventive measures has a huge impact on reducing the spread of the disease in the population. Particularly, an increase in both the first and second dose vaccination rates reduces the number of infected individuals, thus reducing the disease burden in the population.
  • Editor: Dordrecht: Springer Netherlands
  • Idioma: Inglês
Links
Voltar para lista de resultados

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.