Results 31 to 40 of about 104,927 (266)

Suspected Close Contacts as the Pilot Indicator of the Growth Trend of Confirmed Population During the COVID-19 Pandemic: A Simulation Approach

Infectious Microbes & Diseases, 2020
. Regarding to the actual situation of the new coronavirus disease 2019 epidemic, social factors should be taken into account and the increasing growth trend of confirmed populations needs to be explained. A proper model needs to be established, not only
Sisi Huang, Anding Zhu, Yan Wang, Yancong Xu, Lu Li, Dexing Kong, Stijn van der Veen   +6 more
doaj   +1 more source

Oscillating epidemics in a dynamic network model: stochastic and mean-field analysis [PDF]

, 2014
An adaptive network model using SIS epidemic propagation with link-type-dependent link activation and deletion is considered. Bifurcation analysis of the pairwise ODE approximation and the network-based stochastic simulation is carried out, showing that ...
A Szabó, András Szabó-Solticzky, D Juher, DM Halliday, DT Gillespie, DT Gillespie, G Demirel, H Sayama, Istvan Z. Kiss, IZ Kiss, J Zhou, KTD Eames, LB Shaw, Luc Berthouze, M Taylor, MJ Keeling, N Dmitriev, PL Simon, Péter L. Simon, T Gross, T Gross, T Gross, T House, T Rogers, V Marceau   +24 more
core   +2 more sources

An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions

IEEE Access, 2021
The traditional agent-based model requires high computing power of the central processing unit. Thus, an improved agent-based model combined with the discrete event simulation method is proposed.
Hongbin Qiu, Yong Chen, Sirui Ding, Wenchao Yi, Ruifeng Lv, Cheng Wang   +5 more
doaj   +1 more source

Modelling workplace contact networks: the effects of organizational structure, architecture, and reporting errors on epidemic predictions [PDF]

, 2015
Face-to-face social contacts are potentially important transmission routes for acute respiratory infections, and understanding the contact network can improve our ability to predict, contain, and control epidemics.
Potter, Gail E., Sailer, Kerstin, Smieszek, Timo   +2 more
core   +3 more sources

FastSIR Algorithm: A Fast Algorithm for simulation of epidemic spread in large networks by using SIR compartment model

, 2012
The epidemic spreading on arbitrary complex networks is studied in SIR (Susceptible Infected Recovered) compartment model. We propose our implementation of a Naive SIR algorithm for epidemic simulation spreading on networks that uses data structures ...
Albert, Albert, Alen Lančić, Barabasi, Broder, Broeck, Callaway, Colizza, Colizza, Cormen, Csardi, Dorogovtsev, Dorogovtsev, Eubank, Grassberger, Hethcote, Hrvoje Štefančić, Kenah, Kermack, Lancic, Liljeros, Meyers, Mile Šikić, Mollison, Newman, Newman, Nino Antulov-Fantulin, Pastor-Satorras, Satsuma, Saumell-Mendiola, Shaw, Tizzoni, Vespignani, Vitter, Wang, Watts   +35 more
core   +1 more source

Optimized Gillespie algorithms for the simulation of Markovian epidemic processes on large and heterogeneous networks

, 2017
Numerical simulation of continuous-time Markovian processes is an essential and widely applied tool in the investigation of epidemic spreading on complex networks.
Cota, Wesley, Ferreira, Silvio C.
core   +1 more source

Network Analysis to Identify the Risk of Epidemic Spreading

Applied Sciences, 2021
Several epidemics, such as the Black Death and the Spanish flu, have threatened human life throughout history; however, it is unclear if humans will remain safe from the sudden and fast spread of epidemic diseases.
Kiseong Kim, Sunyong Yoo, Sangyeon Lee, Doheon Lee, Kwang-Hyung Lee   +4 more
doaj   +1 more source

The impact of prior information on estimates of disease transmissibility using Bayesian tools [PDF]

, 2015
The basic reproductive number (R₀) and the distribution of the serial interval (SI) are often used to quantify transmission during an infectious disease outbreak.
Archer, Brett N., Gupta, Mayetri, Moser, Carlee B., White, Laura F.   +3 more
core   +3 more sources

Evaluating the impact of the weather conditions on the influenza propagation

BMC Infectious Diseases, 2020
Background Predicting the details of how an epidemic evolves is highly valuable as health institutions need to better plan towards limiting the infection propagation effects and optimizing their prediction and response capabilities. Simulation is a cost-
David E. Singh, Maria-Cristina Marinescu, Jesus Carretero, Concepcion Delgado-Sanz, Diana Gomez-Barroso, Amparo Larrauri   +5 more
doaj   +1 more source

Some thoughts and strategies of planning for the impact of “COVID-19” epidemic in Yunnan plateau basin [PDF]

E3S Web of Conferences, 2020
Combined with the big data report of Baidu epidemic, and based on the transmission route and characteristics of “COVID-19” Virus, using GIS spatial analysis technology and related mathematical models, the correspondence between the epidemic development ...
Shi Ziqian, Chen Hua, Fan Kai, Chen Peng
doaj   +1 more source