Name
Abstract | ||
|---|---|---|
The classical approach in epidemics modelling accounts for the deterministic aspects of the epidemic spread without considering the variability in the transmission of the infectious diseases. Then we propose in this paper, after improving these models by introducing a slow demographic component, to define demographic and epidemic random variables and parameters in order to take into account fluctuations in the meeting process giving birth to the contagion. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/WAINA.2011.153 | AINA Workshops |
Keywords | Field | DocType |
infectious disease,slow demographic component,stochastic approach,deterministic aspect,account fluctuation,epidemic random variable,epidemic spread,modelling epidemic spread,meeting process,classical approach,reaction diffusion,random variable,stochastic process,stationary state,polynomials,mathematical model,stochastic processes,biology | Mathematical optimization,Random variable,Polynomial,Computer science,Stochastic process,Statistics,Stationary state,Reaction–diffusion system,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Mintsa | 1 | 5 | 1.29 |
| M. Rachdi | 2 | 33 | 7.25 |
| Demongeot, J. | 3 | 90 | 13.19 |