Optimal control of COVID-19 through strategic mathematical modeling: Incorporating harmonic mean incident rate and vaccination
Source abstract
Abstract
COVID-19 is a novel virus that has spread globally, and governments around the world often implement different strategies to prevent its spread. In the literature, several COVID-19 models have been studied with the bilinear incident rate. In this study, the S1V1E1I1Q1R1 (susceptible-vaccinated-exposed-infective-quarantined-recovered) COVID-19 model is proposed. To investigate how the disease spreads in the population, an algorithm is used. The efficacy of the algorithm is used to calculate the disease-free equilibrium point. A next generation matrix technique is used to find R0. Furthermore, to check the effect of parameters on the basic reproduction number (R0), the sensitivity analysis is conducted. Numerical simulation displays that the disease spreads in the population by increasing the value of the contact rate β while the disease spread in the population reduces by increasing the value of the vaccination rate θ, quarantine rate ϕ, and recovery rate γ. Different optimal control strategies, such as social distance and quick isolation, are also implemented.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: COVID-19 epidemiological studies · Mathematical and Theoretical Epidemiology and Ecology Models · SARS-CoV-2 and COVID-19 Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty System of Science, Kunming University of Science and Technology 1 , Kunming, Yunnan,
School of Mathematics and Statistics, Central South University 2 , Changsha, Hunan 410083,
Information Department of Mathematics Education, Akenten Appiah Menka University of Skills Training and Entrepreneurship Development 3 , Kumasi,
Department of Mathematics, College of Sciences, Princess Nourah Bint Abdulrahman University 4 , P.O. Box 84428, Riyadh 11671,
Department of Mathematics, College of Science, Qassim University 5 , Buraydah 51452,
School of Mathematics and Statistics, Zhengzhou University 6 , Zhengzhou 450001, Henan,
Department of Mathematics, City University of Science and Information Technology 7 , Peshawar,
Funding
Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University
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