Dynamics of COVID-19 Using SEIQR Epidemic Model
نویسندگان
چکیده
The major goal of this study is to create an optimal technique for managing COVID-19 spread by transforming the SEIQR model into a dynamic (multistage) programming problem with continuous and discrete time-varying transmission rates as optimizing variables. We have developed control discrete-time, deterministic susceptible class (S), exposed (E), infected (I), quarantined (Q), recovered (R) epidemic finite time horizon. involves finding minimum objective function controlled process subject constraints limited resources. For our model, we present new based on solutions that can be used minimize infection rate maximize recovery rate. suitable conditions obtaining monotonic proposed obtain sequences. explored positivity unique solvability nature these implicit explicit time-discrete models. According findings, isolating affected humans limit danger spreading in future.
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ژورنال
عنوان ژورنال: Journal of Mathematics
سال: 2022
ISSN: ['2314-4785', '2314-4629']
DOI: https://doi.org/10.1155/2022/2138165