Results 11 to 20 of about 37,265 (285)

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

Радіоелектронні і комп'ютерні системи, 2022
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 in the healthcare sector in the context of a sharp increase in the pressure on ...
Serhii Krivtsov, Ievgen Meniailov, Kseniia Bazilevych, Dmytro Chumachenko   +3 more
doaj   +1 more source

Perfect Counterfactuals for Epidemic Simulations [PDF]

Philosophical Transactions of the Royal Society B: Biological Sciences, 2018
Abstract Simulation studies are often used to predict the expected impact of control measures in infectious disease outbreaks. Typically, two independent sets of simulations are conducted, one with the intervetnion, and one without, and epidemic sizes (or some related metric) are compared to estimate the effect of the intervention ...
Joshua Kaminsky, Lindsay T. Keegan, C. Jessica E. Metcalf, Justin Lessler   +3 more
openaire   +2 more sources

Simulation and forecasting of the influenza epidemic process using seasonal autoregressive integrated moving average model

Радіоелектронні і комп'ютерні системи, 2021
Today's global COVID-19 pandemic has affected the spread of influenza. COVID-19 and influenza are respiratory infections and have several similar symptoms. They are, however, caused by various viruses; there are also some differences in the categories of
Dmytro Chumachenko, Ievgen Meniailov, Andrii Hrimov, Vladislav Lopatka, Olha Moroz, Olena Tolstoluzka   +5 more
doaj   +1 more source

Barriers of COVID-19 vaccination in Ukraine during the war: the simulation study using ARIMA model

Радіоелектронні і комп'ютерні системи, 2022
The COVID-19 pandemic has become a challenge to public health systems worldwide. As of June 2022, more than 545 million cases have been registered worldwide, more than 6.34 million of which have died.
Dmytro Chumachenko, Tetyana Chumachenko, Nataliia Kirinovych, Ievgen Meniailov, Olena Muradyan, Olga Salun   +5 more
doaj   +1 more source

Assessing the impact of the russian war in Ukraine on COVID-19 transmission in Spain: a machine learning-based study

Радіоелектронні і комп'ютерні системи, 2023
COVID-19 pandemic has significantly impacted the world, with millions of infections and deaths, healthcare systems overwhelmed, economies disrupted, and daily life changed.
Dmytro Chumachenko, Tetiana Dudkina, Tetyana Chumachenko   +2 more
doaj   +1 more source

Epidemiological Implications of War: Machine Learning Estimations of the Russian Invasion’s Effect on Italy’s COVID-19 Dynamics

Computation, 2023
Background: The COVID-19 pandemic has profoundly transformed the global scenario, marked by overwhelming infections, fatalities, overburdened healthcare infrastructures, economic upheavals, and significant lifestyle modifications.
Dmytro Chumachenko, Tetiana Dudkina, Tetyana Chumachenko, Plinio Pelegrini Morita   +3 more
doaj   +1 more source

Suitable Methods for Solving COVID-19 Model in Iraq

Wasit Journal for Pure Sciences, 2023
Because the Coronavirus epidemic spread in Iraq, the COVID-19 epidemic of people quarantined due to infection is our application in this work. The numerical simulation methods used in this research are more suitable than other analytical and numerical ...
Maha A.Mohammed, Mahdi A. Sabea
doaj   +1 more source

Simulation of epidemic trends of 2019-nCoV epidemic trend under effective control measures [PDF]

Yixue xinzhi zazhi, 2020
Objective To simulate the epidemic trends of 2019-nCoV in a susceptible population under effective control measures.Methods Data was collected from public resources. Agent-based modeling (ABM) was used to modeling the epidemic trend of 2019-nCoV.
Ru-Hai BAI, Wan-Yue Dong, Ying SHI, Ao-Zi FENG, An-Ding XU, Jun LYU   +5 more
doaj   +1 more source

Comparing intervention measures in a model of a disease outbreak on a university campus

Royal Society Open Science, 2023
A number of theoretical models have been developed in recent years modelling epidemic spread in educational settings such as universities, often as part of efforts to inform re-opening strategies during the COVID-19 pandemic.
A. Best, P. Singh
doaj   +1 more source

A Flexible Spatial Framework for Modeling Spread of Pathogens in Animals with Biosurveillance and Disease Control Applications

ISPRS International Journal of Geo-Information, 2014
Biosurveillance activities focus on acquiring and analyzing epidemiological and biological data to interpret unfolding events and predict outcomes in infectious disease outbreaks.
Montiago X. LaBute, Benjamin H. McMahon, Mac Brown, Carrie Manore, Jeanne M. Fair   +4 more
doaj   +1 more source