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Diffusive epidemic process: theory and simulation [PDF]
Journal of Physics: Condensed Matter, 2006 We study the continuous absorbing-state phase transition in the one-dimensional diffusive epidemic process via mean-field theory and Monte Carlo simulation.
Cardozo G O +10 more
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A Simulation Optimization Approach to Epidemic Forecasting.
PLoS ONE, 2013 Reliable forecasts of influenza can aid in the control of both seasonal and pandemic outbreaks. We introduce a simulation optimization (SIMOP) approach for forecasting the influenza epidemic curve.
Elaine O Nsoesie +4 more
doaj +4 more sources
Using epidemic simulators for monitoring an ongoing epidemic [PDF]
Scientific Reports, 2020 AbstractPrediction of infection trends, estimating the efficacy of contact tracing, testing or impact of influx of infected are of vital importance for administration during an ongoing epidemic. Most effective methods currently are empirical in nature and their relation to parameters of interest to administrators are not evident.
Raghavan, Mohan +2 more
openaire +4 more sources
On COVID-19 epidemic process simulation: three regression approaches investigations
Радіоелектронні і комп'ютерні системи, 2022 An outbreak of a new coronavirus infection was first recorded in Wuhan, China, in December 2019. On January 30, 2020, the World Health Organization declared the outbreak a Public Health Emergency of International Concern and on March 11, it a pandemic ...
Dmytro Chumachenko +3 more
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Impact of war on COVID-19 pandemic in Ukraine: the simulation study
Радіоелектронні і комп'ютерні системи, 2022 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 people died.
Dmytro Chumachenko +3 more
doaj +1 more source
Epidemic monitoring in real-time based on dynamic grid search and Monte Carlo numerical simulation algorithm [PDF]
PeerJ Computer Science, 2023 Building upon the foundational principles of the grid search algorithm and Monte Carlo numerical simulation, this article introduces an innovative epidemic monitoring and prevention plan.
Xin Chen +5 more
doaj +2 more sources
Радіоелектронні і комп'ютерні системи, 2021 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.
Alireza Mohammadi +4 more
doaj +1 more source
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 +3 more
doaj +1 more source
Perfect Counterfactuals for Epidemic Simulations [PDF]
Philosophical Transactions of the Royal Society B: Biological Sciences, 2018 AbstractSimulation 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 +3 more
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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 +5 more
doaj +1 more source