Statistical assessment of biogenic risk for the human population caused by COVID-19

Autor: Azimova Natalia, Kholodova Svetlana, Bedoidze Maria, Zairova Jakhangul, Ermakov Alexander
Jazyk: English<br />French
Rok vydání: 2023
Předmět:
Zdroj: E3S Web of Conferences, Vol 371, p 05073 (2023)
Druh dokumentu: article
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202337105073
Popis: In the paper an appreciable hierarchy of mathematical models is proposed. It describes the actual dynamics of COVID-19 thickness during 02/12/2020 – 09/22/2021. The incidence sub-model reflects reliably regular (aperiodic and periodic), as well as random components. It is established that the dynamics of the epidemy is essentially seasonal thrice a year. Model elaborated enables to clarify and explain weak weekly fluctuations in the death rate dynamics. It turned out that the maximum risk of death is at 15 and 22 days of disease duration. It means that this virus will presumably be a "satellite" of the human population with corresponded mortality at 1.75%. Calculations performed enable to estimate the level of stochastics in disease and death dynamics. It is near to the amplitude of periodic variation. Computer experiments with developed model predict the global dynamics of the incidence of COVID-19. New epidemic data can show the prospect of improving our model to regard the competitiveness between new sporadically emerging virus strains.
Databáze: Directory of Open Access Journals