Comparative study of linear regression and SIR models of COVID-19 propagation in Ukraine before vaccination

A Mohammadi, I Meniailov, K Bazilevych… - … and Computer Systems, 2021 - nti.khai.edu
The global COVID-19 pandemic began in December 2019 and spread rapidly around the
world. Worldwide, more than 230 million people fell ill, 4.75 million cases were fatal. In …

[PDF][PDF] Compartment Model of COVID-19 Epidemic Process in Ukraine.

A Mohammadi, T Chumachenko, L Makhota… - IT&AS, 2021 - academia.edu
The paper presents a compartment model of the dynamics of the incidence of the new
coronavirus (COVID-19). An approach to the construction of SIR models is shown. The SIRF …

Predictive model of COVID-19 epidemic process based on neural network

S Krivtsov, I Meniailov, K Bazilevych… - … and Computer Systems, 2022 - nti.khai.edu
The COVID-19 pandemic, which has been going on for almost three years, has shown that
public health systems are not ready for such a challenge. Measures taken by governments …

Impact of war on COVID-19 pandemic in Ukraine: the simulation study

D Chumachenko, P Pyrohov, I Meniailov… - … and computer systems, 2022 - nti.khai.edu
The COVID-19 pandemic has posed a challenge to public health systems worldwide. As of
March 2022, almost 500 million cases have been reported worldwide. More than 6.2 million …

[HTML][HTML] Comparative analysis of the mathematical models of the dynamics of the coronavirus COVID-19 epidemic development in the different countries

P Khrapov, A Loginova - International Journal of Open Information …, 2020 - cyberleninka.ru
In this work, mathematical modelling of the dynamics of coronavirus COVID-19 is performed
for the following countries: the USA, Germany, the UK and the Russian Federation. Cases of …

Machine learning model of covid-19 forecasting in Ukraine based on the linear regression

A Mohammadi, D Chumachenko… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Coronavirus or COVID-19 is a widespread pandemic that has affected almost all countries
around the globe. The quantity of infected cases and deceased patients has been …

Coronavirus (COVID-19) outbreak prediction using epidemiological models of Richards Gompertz Logistic Ratkowsky and SIRD

A Sedaghat, SAA Oloomi, MA Malayer… - 2020 IEEE 3rd …, 2020 - ieeexplore.ieee.org
On 30 July 2020, a total number of 301,530 diagnosed COVID-19 cases were reported in
Iran, with 261,200 recovered and 16,569 dead. The COVID-19 pandemic started with 2 …

Development of a simulation model for the spread of COVID-19 coronavirus infection in Kaluga region

A Tkachenko, D Lavrentev, M Denisenko… - E3S Web of …, 2021 - e3s-conferences.org
The development of the situation around Covid-19 is an urgent problem for the whole world,
and it is still not known exactly how the pandemic will develop. However, based on the data …

A model for COVID-19 prediction in Iran based on China parameters

B Zareie, A Roshani, MA Mansournia, MA Rasouli… - MedRxiv, 2020 - medrxiv.org
Background The rapid spread of COVID-19 virus from China to other countries and
outbreaks of disease require an epidemiological analysis of the disease in the shortest time …

[HTML][HTML] Investigation of statistical machine learning models for COVID-19 epidemic process simulation: Random forest, K-nearest neighbors, gradient boosting

D Chumachenko, I Meniailov, K Bazilevych… - Computation, 2022 - mdpi.com
COVID-19 has become the largest pandemic in recent history to sweep the world. This study
is devoted to developing and investigating three models of the COVID-19 epidemic process …