The non-spatial epidemic

2003 ◽  
pp. 9-25 ◽  
Author(s):  
Linda Rass ◽  
John Radcliffe
Keyword(s):  
Spatial Epidemic

scholarly journals Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0168127 ◽  
Author(s):  
Chiyori T. Urabe ◽  
Gouhei Tanaka ◽  
Kazuyuki Aihara ◽  
Masayasu Mimura
Keyword(s):  
Epidemic Model ◽  
Epidemic Size ◽  
Spatial Epidemic Model ◽  
Spatial Epidemic

Spatial epidemic network models with viral dynamics

1998 ◽  
Vol 57 (2) ◽  
pp. 2163-2169 ◽  
Author(s):  
Henry C. Tuckwell ◽  
Laurent Toubiana ◽  
Jean-Francois Vibert
Keyword(s):  
Network Models ◽  
Viral Dynamics ◽  
Spatial Epidemic

The outcome of a general spatial epidemic on the line

1983 ◽  
Vol 20 (04) ◽  
pp. 715-727 ◽  
Author(s):  
M. J. Faddy
Keyword(s):  
Equilibrium Solution ◽  
Numerical Results ◽  
Quasi Equilibrium ◽  
Deterministic Case ◽  
Spatial Equilibrium ◽  
Threshold Behaviour ◽  
Stochastic Epidemic ◽  
Stochastic Case ◽  
Spatial Epidemic

The general (non-spatial) stochastic epidemic is extended to allow infective individuals to move forward through a system of spatially connected locations · ··, L 1, L 2, · ·· (on the line) each containing susceptible individuals and the outcome of the epidemic in each of these locations is then considered. In the deterministic case, a (spatial) equilibrium solution and threshold behaviour are discussed. In the stochastic case, a (spatial) quasi-equilibrium behaviour (conditional on sufficient numbers of infectives present) is discussed; numerical results suggest some correspondence between this stochastic quasi-equilibrium and the deterministic equilibrium.

Limit theorems for the total size of a spatial epidemic

1997 ◽  
Vol 34 (3) ◽  
pp. 698-710 ◽  
Author(s):  
Håkan Andersson ◽  
Boualem Djehiche
Keyword(s):  
Asymptotic Behaviour ◽  
Epidemic Model ◽  
Limit Theorems ◽  
Total Size ◽  
Spatial Epidemic Model ◽  
Spatial Epidemic ◽  
Number Of Individuals ◽  
General Stochastic

We study the long-term behaviour of a sequence of multitype general stochastic epidemics, converging in probability to a deterministic spatial epidemic model, proposed by D. G. Kendall. More precisely, we use branching and deterministic approximations in order to study the asymptotic behaviour of the total size of the epidemics as the number of types and the number of individuals of each type both grow to infinity.

scholarly journals Human mobility and time spent at destination: Impact on spatial epidemic spreading

2013 ◽  
Vol 338 ◽  
pp. 41-58 ◽  
Author(s):  
Chiara Poletto ◽  
Michele Tizzoni ◽  
Vittoria Colizza
Keyword(s):  
Human Mobility ◽  
Epidemic Spreading ◽  
Spatial Epidemic

scholarly journals Analysis of Spatial Epidemic Characteristics of Liver Cancer in Small Geographical Area

2020 ◽  
Vol 8 (1) ◽  
pp. 10
Author(s):  
Jing Qu ◽  
Haiyun Liu ◽  
Jian Xue ◽  
Jianjun Xu ◽  
Maobo Wang ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Geographical Area ◽  
Spatial Epidemic
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