A caputo fractional order epidemic model for evaluating the effectiveness of high-risk quarantine and vaccination strategies on the spread of COVID-19
Morufu Oyedunsi Olayiwola, Adedapo Ismaila Alaje, Akeem Yunus Olarewaju, Kamilu Adewale Adedokun
Abstract
The recent global Coronavirus disease (COVID-19) threat to the human race requires research on preventing its reemergence without affecting socio-economic factors. This study proposes a fractional-order mathematical model to analyze the impact of high-risk quarantine and vaccination on COVID-19 transmission. The proposed model is used to analyze real-life COVID-19 data to develop and analyze the solutions and their feasibilities. Numerical simulations study the high-risk quarantine and vaccination strategies and show that both strategies effectively reduce the virus prevalence, but their combined application is more effective. We also demonstrate that their effectiveness varies with the volatile rate of change in the system’s distribution. The results are analyzed using Caputo fractional order and presented graphically and extensively analyzed to highlight potent ways of curbing the virus. • A Caputo fractional order epidemic model evaluates high-risk quarantine and vaccination. • Qualitative analysis shows its feasibility in studying physical problems. • Comparative analysis of numerical solutions with error analysis. • Numerical simulations analyzing the effectiveness of single and combined applications. • Descriptive analysis of the simulation results obtained paving ways of eradicating the disease.