Stochastic Approach in Modelling Epidemic Spread

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.

[1]  Jacques Demongeot,et al.  Liénard systems and potential-Hamiltonian decomposition: applications in biology. , 2007, Comptes rendus biologies.

[2]  李莉,et al.  Emergence of Strange Spatial Pattern in a Spatial Epidemic Model , 2008 .

[3]  J. Cartwright Labyrinthine Turing pattern formation in the cerebral cortex. , 2002, Journal of theoretical biology.

[4]  Jacques Demongeot,et al.  Liénard systems and potential-Hamiltonian decomposition III – applications , 2007 .

[5]  Kevin Burrage,et al.  Numerical solutions of stochastic differential equations – implementation and stability issues , 2000 .

[6]  Jacques Demongeot,et al.  Demographic and Spatial Factors as Causes of an Epidemic Spread, the Copule Approach: Application to the Retro-prediction of the Black Death Epidemy of 1346 , 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.

[7]  J. Gaudart,et al.  Modelling malaria incidence with environmental dependency in a locality of Sudanese savannah area, Mali , 2009, Malaria Journal.

[8]  J. Gaudart,et al.  Demography and Diffusion in Epidemics: Malaria and Black Death Spread , 2010, Acta biotheoretica.

[9]  Jacques Demongeot,et al.  Demography in epidemics modelling , 2011 .

[10]  Jacques Demongeot,et al.  Systemes de Lienard et decomposition potentielle-Hamiltonienne I - Methodologie Lienard systems and potential-Hamiltonian decomposition I - Methodology , 2007 .

[11]  N. Rashevsky,et al.  Mathematical biology , 1961, Connecticut medicine.

[12]  Zhen Jin,et al.  CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY: Spatial Pattern of an Epidemic Model with Cross-diffusion , 2008 .

[13]  Zhen Jin,et al.  CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY: Emergence of Strange Spatial Pattern in a Spatial Epidemic Model , 2008 .

[14]  Jacques Demongeot,et al.  Liénard systems and potential-Hamiltonian decomposition II – algorithm , 2007 .

[15]  J. Demongeot,et al.  Détection de clusters spatiaux sans point source prédéfini : utilisation de cinq méthodes et comparaison de leurs résultats , 2007 .

[16]  A. M. Turing,et al.  The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.