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 …

How seasonality and control measures jointly determine the multistage waves of the COVID-19 epidemic: a modelling study and implications

Y Zheng, Y Wang - International Journal of Environmental Research and …, 2022 - mdpi.com
The current novel Coronavirus Disease 2019 (COVID-19) is a multistage epidemic
consisting of multiple rounds of alternating outbreak and containment periods that cannot be …

Future prediction of COVID-19 vaccine trends using a voting classifier

SAJ Zaidi, S Tariq, SB Belhaouari - Data, 2021 - mdpi.com
Machine learning (ML)-based prediction is considered an important technique for improving
decision making during the planning process. Modern ML models are used for prediction …

A COVID-19 epidemic model with periodicity in transmission and environmental dynamics

B Assan, F Nyabadza - Frontiers in Applied Mathematics and …, 2023 - frontiersin.org
From the beginning of the outbreak of SARS-CoV-2 (COVID-19), South African data
depicted seasonal transmission patterns, with infections rising in summer and winter every …

Transportation and Reserve of Emergency Medical Supplies during Public Health Events

J An, B Zhuo - Applied Sciences, 2023 - mdpi.com
When a public health event occurs, it is very difficult to guarantee a stable supply of
emergency medical supplies; this has a great impact on the efficiency of emergency rescue …

[PDF][PDF] Transmission characteristics and predictive model for recent epidemic waves of covid-19 associated with omicron variant in major cities in China

Y Zheng, Y Wang - International Journal of Public Health, 2022 - ssph-journal.org
Objectives: Waves of epidemics associated with Omicron variant of Coronavirus Disease
2019 (COVID-19) in major cities in China this year have been controlled. It is of great …

Analysis and Parametrical Estimation with Real COVID‐19 Data of a New Extended SEIR Epidemic Model with Quarantined Individuals

C Legarreta, S Alonso-Quesada… - Discrete Dynamics in …, 2022 - Wiley Online Library
During the recent COVID‐19 pandemic, quarantine and testing policies have been of vital
importance since the causative agent has been a novel virus and no vaccine was developed …

A Novel Mathematical Model of the Dynamics of COVID-19

E Demirci - Gazi University Journal of Science, 2023 - dergipark.org.tr
The severity of the COVID-19 pandemic requires a better understanding of the spread of
SARS-COV2. As of December 2019, several mathematical models have been developed to …

[HTML][HTML] Data suggested hospitalization as critical indicator of the severity of the COVID-19 pandemic, even at its early stages

S Fuderer, C Kuttler, M Hoelscher… - Mathematical …, 2023 - aimspress.com
COVID-19 has been spreading widely since January 2020, prompting the implementation of
non-pharmaceutical interventions and vaccinations to prevent overwhelming the healthcare …

[PDF][PDF] Parameter estimation for a SEIRS model with COVID-19 data of Türkiye

A Unal, E Demirci - … ştiinţifice ale Universităţii" Ovidius" Constanţa. Seria …, 2023 - sciendo.com
In this paper, the unknown parameters of a SEIRS mathematical model for the dynamics of
COVID-19 are estimated by the least squares approach using data of Trkiye. In the …