| Autor: |
Elqaddaoui, Ahmed, El Bhih, Amine, Laarabi, Hassan, Abta, Abdelhadi, Rachik, Mostafa, Amine El Koufi, Adil El Alami Laaroussi |
| Předmět: |
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| Zdroj: |
Frontiers in Applied Mathematics & Statistics; 2024, p01-10, 10p |
| Abstrakt: |
This research article presents a mathematical model that tracks and monitors the spread of COVID-19 strains in a discrete time frame. The study incorporates two control strategies to reduce the transmission of these strains: vaccination and providing appropriate treatment and medication for each strain separately. Optimal controls were established using Pontryagin's maximum principle in discrete time, and the optimality system was solved using an iterative method. To validate the effectiveness of the theoretical findings, numerical simulations were conducted to demonstrate the impact of the implemented strategies in limiting the spread of COVID-19 mutant strains. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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