Results 21 to 30 of about 104,927 (266)

Dynamics of multi-stage infections on networks [PDF]

, 2015
This paper investigates the dynamics of infectious diseases with a nonexponentially distributed infectious period. This is achieved by considering a multistage infection model on networks. Using pairwise approximation with a standard closure, a number of
AJ Black, AL Lloyd, AL Lloyd, CA Donnelly, CT Bauch, D Anderson, DR Cox, DT Gillespie, E Kenah, EH Kaplan, G Chowell, HJ Wearing, HTH Nguyen, HW Hethcote, I. Z. Kiss, J Ma, JC Miller, JM Hyman, JP Koplan, K Sharkey, K. B. Blyuss, KB Blyuss, KTD Eames, KTD Eames, L Danon, M Newman, M Newman, M Taylor, MEJ Newman, MI Meltzer, MJ Keeling, MJ Keeling, MJ Keeling, MJ Keeling, MJ Keeling, N MacDonald, N. Sherborne, NM Ferguson, NM Ferguson, NTJ Bailey, O Diekmann, O Diekmann, P Driessche van den, P Rattana, R Durrett, RE Hope-Simpson, RM Anderson, S Bansal, S Boccaletti, S Cauchemez, S Funk, S Riley, T House, T House, T House, TL Burr, V Andreasen, W Kermack, W-Y Chen, Z Feng   +59 more
core   +2 more sources

Epidemic Dynamics of Interacting Two Particle Species on Scale-free Networks [PDF]

, 2006
We study the non-equilibrium phase transition in a model for epidemic spreading on scale-free networks. The model consists of two particle species $A$ and $B$, and the coupling between them is taken to be asymmetric; $A$ induces $B$ while $B$ suppresses $
Ahn, Yong-Yeol, Jeong, Hawoong, Masuda, Naoki, Noh, Jae Dong   +3 more
core   +1 more source

Simulating influenza epidemics with waning vaccine immunity

Medicine, 2021
Abstract Observational studies indicate that vaccine-induced immunity can decline over time. However, few researchers have incorporated this kind of waning effect into their virus spread models. In this study, we simulate an influenza epidemic that considers the effects of waning immunity by fitting epidemiological models to ...
Chun-Miin (Jimmy) Chen, Alia C. Stanciu
openaire   +3 more sources

Analysis, Simulation and Control of a New Measles Epidemic Model [PDF]

, 2019
In this paper the problem of modeling and controlling the measles epidemic spread is faced. A new model is proposed and analysed; besides the categories usually considered in measles modeling, the susceptible, the exposed, the infected, the removed and,
DI GIAMBERARDINO, Paolo, Iacoviello, Daniela   +1 more
core   +1 more source

COVID-19 Spread Simulation in a Crowd Intelligence Network

International Journal of Crowd Science, 2022
In this paper, the Crowd Intelligence Network Model is applied to the simulation of epidemic spread. This model combines the multi-layer coupling network model and the two-stage feedback member model to study the epidemic spread mechanisms under multiple-
Linzhi Shan, Hongbo Sun
doaj   +1 more source

Predicting the size and probability of epidemics in a population with heterogeneous infectiousness and susceptibility [PDF]

, 2007
We analytically address disease outbreaks in large, random networks with heterogeneous infectivity and susceptibility. The transmissibility $T_{uv}$ (the probability that infection of $u$ causes infection of $v$) depends on the infectivity of $u$ and the
G. Chowell, H. S. Wilf, Joel C. Miller, L. A. Meyers, M. Molloy, P. Grassberger, R. M. Anderson, R. R. Kao   +7 more
core   +1 more source

A mathematically assisted reconstruction of the initial focus of the yellow fever outbreak in Buenos Aires (1871) [PDF]

, 2013
We discuss the historic mortality record corresponding to the initial focus of the yellow fever epidemic outbreak registered in Buenos Aires during the year 1871 as compared to simulations of a stochastic population dynamics model.
Fernández, M. L., Otero, M., Schweigmann, N., Solari, H. G.   +3 more
core   +3 more sources

Rapid simulation of spatial epidemics: A spectral method [PDF]

Journal of Theoretical Biology, 2015
Spatial structure and hence the spatial position of host populations plays a vital role in the spread of infection. In the majority of situations, it is only possible to predict the spatial spread of infection using simulation models, which can be computationally demanding especially for large population sizes.
Samuel P.C. Brand, Michael J. Tildesley, Matthew J. Keeling   +2 more
openaire   +2 more sources

Estimation of COVID-19 Transmission and Advice on Public Health Interventions

Mathematics, 2021
At the end of 2019, an outbreak of the novel coronavirus (COVID-19) made a profound impact on the country’s production and people’s daily lives. Up until now, COVID-19 has not been fully controlled all over the world.
Qingqing Ji, Xu Zhao, Hanlin Ma, Qing Liu, Yiwen Liu, Qiyue Guan   +5 more
doaj   +1 more source

War-driven displacement and COVID-19 in Poland: simulation study using LSTM model

Радіоелектронні і комп'ютерні системи
Russia’s full-scale invasion of Ukraine led to Europe’s largest and fastest displacement since World War II. Poland received the largest inflow. Rapid movement can affect COVID-19 spread and stress testing, reporting, and vaccination systems.
Mykola Butkevych, Ievgen Meniailov, Yaroslav Lutsiv, Bohdan Kraivskyi, Dmytro Chumachenko   +4 more
doaj   +1 more source