Modified SEIRD model for describing the COVID-19 epidemic
DOI:
https://doi.org/10.20535/SRIT.2308-8893.2023.1.04Keywords:
epidemiology, epidemiological models, modified mathematical models, COVID-19 modeling SEIR, SEIRD model, unvaccinated people, virus, division of the population, new strainsAbstract
This article is devoted to mathematical models in epidemiology, in particular SIR, SEIR, and SEIRD models. It explores the importance of these models in predicting the spread of infectious diseases and evaluating the effectiveness of control measures. These models allow for assessing important epidemic parameters such as the speed of infection transmission, the number of people infected, and the number of deaths. This data can help in making decisions regarding the imposition and lifting of quarantine restrictions, opening and closing of schools and other institutions, as well as in developing vaccination strategies and other control measures. In summary, mathematical models such as SIR, SEIR, and SEIRD are important tools in the fight against epidemics. They enable epidemiologists and medical professionals to predict and control the spread of diseases, thus preserving the health and lives of people.
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