Analysis of COVID-19 Disease Model: Backward Bifurcation and Impact of Pharmaceutical and Nonpharmaceutical Interventions

• Published in: International journal of mathematics and mathematical sciences Vol. 2024; pp. 1 - 17
• Main Authors: Ullah, Ibad, Ali, Nigar, Haq, Ihtisham Ul, Ahmad, Imtiaz, Albalwi, Mohammed Daher, Ali Biswas, Md. Haider
• Format: Journal Article
• Language: English
• Published: New York Hindawi 05-04-2024; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Analysis; Asymptotic properties; Communicable diseases; Coronaviruses; COVID-19; Disease prevention; Disease transmission; Eigenvalues; Epidemics; Equilibrium; Graphical representations; Infectious diseases; Insects; Mathematical models; Numerical analysis; Qualitative analysis; Quarantine; Sensitivity analysis; Variables; Viral diseases
• ISSN: 0161-1712; 1687-0425
• DOI: 10.1155/2024/6069996

The SEIQHR model, introduced in this study, serves as a valuable tool for anticipating the emergence of various infectious diseases, such as COVID-19 and illnesses transmitted by insects. An analysis of the model’s qualitative features was conducted, encompassing the computation of the fundamental reproduction number, R0. It was observed that the disease-free equilibrium point remains singular and locally asymptotically stable when R0<1, while the endemic equilibrium point exhibits uniqueness when R0>1. Additionally, specific conditions were outlined to guarantee the local asymptotic stability of both equilibrium points. Employing numerical simulations, the graphical representation illustrated the influence of model parameters on disease dynamics and the potential for its eradication across different noninteger orders of the Caputo derivative. In essence, the adoption of a fractional epidemic model contributes to a deeper comprehension and enhanced biological insights into the dynamics of diseases.