| Autors: Popov, G. I., Nakov, O. N. Title: An epidemic model of Covid-19 disease with variable spreading Keywords: Covid-19, Model, Markov chain Abstract: The article gives models of the spread of infectious diseases, including Covid-19. Models and simula- tions of an epidemic in the presence of quarantine and the moment of its termination have been made. It is particu- larly important to pinpoint the timing of the lifting of measures or their granting. Also, the proposed simulation model shows the impact of group gatherings such as: the beginning of the school year, holidays and more. mass events on the epidemic picture. These studies are also relevant in the event of a mutation in the virus that will change the rate of spread. References Issue
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Цитирания (Citation/s):
1. Subhash Yadav, Yusuf Akhter, Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread - 2021 - в издания, индексирани в Scopus или Web of Science
2. YADAV, Subhash Kumar; KUMAR, Vinit; AKHTER, Yusuf. Modeling Global COVID-19 Dissemination Data After the Emergence of Omicron Variant Using Multipronged Approaches. Current Microbiology, 2022, 79.9: 286. - 2022 - в издания, индексирани в Scopus или Web of Science
3. Popova, A. (2023). Model for the Propagation of Malicious Objects in a Computer Network with Variable Infection Intensity. TEM Journal, 12(3), 1275-1280. - 2023 - в издания, индексирани в Scopus или Web of Science
Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus
