1Dept. of Mathematics, Veerangana Avantibai Govt. Degree College, Atrauli, Aligarh, India
2Dept. of Mathematics, Dharam Samaj College, Aligarh (Aligarh), India
3Dr. Bhimrao Ambedkar University, Agra
Online published on 20 September, 2023.
The focus of this study is on developing an SEIQR model with fuzzy parameters for COVID-19. The SEIQR model is built around the corona virus load, efficacy of vaccine, treatment, no treatment, efficacy of face mask, and social isolation. The membership functions of the infection rate, recovery rate, and mortality rate owing to COVID-19 are employed as fuzzy parameters in the model. To get the fundamental reproduction number, the model analysis employs the matrix generation technique. The findings of the simulations reveal that the spread of COVID-19 will vary depending on the corona virus load. Similar results in reducing or preventing the spread of COVID-19 can be achieved with the use of immunization face mask, and social distancing strategy.
Virus load, Fuzzy parameters, Basic reproduction number, Next generation matrix method
