Using the SIR Model to Analyze the Epidemiological Situation in Kazakhstan and Neighboring Countries
CEUR Workshop Proceedings
; 3382, 2022.
Article
Dans Anglais
| Scopus | ID: covidwho-20242435
ABSTRACT
In this paper, we study the epidemic situation in Kazakhstan and neighboring countries, taking into account territorial features in emergency situations. As you know, the excessive concentration of the population in large cities and the transition to a world without borders created ideal conditions for a global pandemic. The article also provides the results of a detailed analysis of the solution approaches to modeling the development of epidemics by types of models (basic SIR model, modified SEIR models) and the practical application of the SIR model using an example (Kazakhstan, Russia, Kyrgyzstan, Uzbekistan and other neighboring countries). The obtained processing results are based on statistical data from open sources on the development of the COVID-19 epidemic. The result obtained is a general solution of the SIR-model of the spread of the epidemic according to the fourth-order Runge-Kutta method. The parameters β, γ, which are indicators of infection, recovery, respectively, were calculated using data at the initial phase of the Covid 2019 epidemic. An analysis of anti-epidemic measures in neighboring countries is given. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Collection:
Bases de données des oragnisations internationales
Base de données:
Scopus
Type d'étude:
Étude observationnelle
langue:
Anglais
Revue:
CEUR Workshop Proceedings
Année:
2022
Type de document:
Article
Documents relatifs à ce sujet
MEDLINE
...
LILACS
LIS