A Susceptible Vaccinated Exposed Infected Hospitalized and Removed/Recovered (SVEIHR) Model Framework for COVID-19

Oyamakin S. O.

Biostatistics Unit, Department of Statistics, University of Ibadan, Nigeria.

Popoola J. I. *

Biostatistics Unit, Department of Statistics, University of Ibadan, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

In reaction to the severe socio-economic effects and upheavals that the Covid-19 sickness had on the world within the first few weeks of its introduction, everyone involved had to act quickly to look for possible solutions for preventing the ensuing epidemics. A prompt response is more critical given Nigeria's subpar social, economic, and healthcare infrastructure. Investigated was the efficacy of various pharmacological, non-pharmaceutical, or a combination of both therapies in flattening the Covid-19 incidence curve. In order to investigate the impact of these interventions, a deterministic SVEIHR model was created and applied. The Nigerian Center for Disease Control (NCDC) portal's Covid-19 data were used to parametrize the model. For simulations using a system dynamic simulation, estimated parameters were employed. The fundamental reproduction number, R0, was used to evaluate the success of our suggested intervention in effectively managing COVID-19 transmission. The simulation results demonstrated that the use of only non-pharmaceutical interventions, such as the use of face masks, a light lockdown, and hand washing at baseline or high levels, is insufficient, with the R0 varying from vaccination at the vaccination rate of 0.5% with non-pharmaceutical interventions at any level of compliance, and a combination of vaccination at 0.05% and high hygiene level were effective in flattening the Covid-19 disease incidence curve in Nigeria, returning a R0 less than 1. Furthermore, maintaining a high level of cleanliness, which includes hand washing and the use of a face mask, would be sufficient to stop the spread of Covid-19 disease and eventually flatten Covid-19 disease incidence curve in Nigeria, given a low turnout of 0.05% for vaccination and the easing of lockdown.

Keywords: COVID-19, compartmental models, mathematical modeling, SEIR, SVEIHR, NCDC


How to Cite

Oyamakin S. O., and Popoola J. I. 2023. “A Susceptible Vaccinated Exposed Infected Hospitalized and Removed Recovered (SVEIHR) Model Framework for COVID-19”. Asian Journal of Probability and Statistics 25 (1):1-12. https://doi.org/10.9734/ajpas/2023/v25i1534.

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