Results 1 to 10 of about 37,265 (285)
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 +5 more sources
A comparative study of simulation-based inference methods for epidemic models with identifiability considerations. [PDF]
PLoS Computational BiologyEpidemic models play a critical role in understanding transmission dynamics, generating forecasts, and informing public health interventions when they are properly calibrated to epidemiological data.
Geunsoo Jang +2 more
doaj +2 more sources
EpidemicSim: Epidemic simulation system with realistic mobility [PDF]
37th Annual IEEE Conference on Local Computer Networks -- Workshops, 2012 Much attention has been paid to modeling human behavior and social interactions for epidemic and pandemic predictions. Nearly all of these models and predictive simulations rely on synthetic individuals to simulate social patterns using data gathered from databases such as census and transportation information.
Steven Kopman +2 more
openaire +3 more sources
Stochastic simulation of HIV epidemic
, 2012 This is my masters thesis report, in which I model the HIV epidemic in Luxembourg with a high-level, realistic, stochastic simulation and make predictions for the future under different assumptions.
Sébastien De Landtsheer (98922)
openaire +2 more sources
Simulation of epidemic protocols [PDF]
, 2023 We live in a digital era, in a world connected by technology. The incredible capabilities of our mobile phones and computers let us communicate and get data from all over the globe, in the instance of a millisecond. However, technological progress doesn’t stop.
Sobral, Luís Filipe Cruz
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Using epidemic simulators for monitoring an ongoing epidemic [PDF]
Scientific Reports, 2020 Abstract Prediction 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
doaj +1 more source
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