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Tajani, A., Silva, C. J.  & Cantin, G. (N/A). Hybrid reaction–diffusion epidemic models: Dynamics and emergence of oscillations. Mathematical Methods in the Applied Sciences. N/A
Export Reference (IEEE) 
A. Tajani et al.,  "Hybrid reaction–diffusion epidemic models: Dynamics and emergence of oscillations", in Mathematical Methods in the Applied Sciences, vol. N/A, N/A
Export BibTeX 
@article{tajaniN/A_1772646667783,
	author = "Tajani, A. and Silva, C. J.  and Cantin, G.",
	title = "Hybrid reaction–diffusion epidemic models: Dynamics and emergence of oscillations",
	journal = "Mathematical Methods in the Applied Sciences",
	year = "N/A",
	volume = "N/A",
	number = "",
	doi = "10.1002/mma.70334",
	url = "https://onlinelibrary.wiley.com/journal/10991476"
}
Export RIS 
TY  - JOUR
TI  - Hybrid reaction–diffusion epidemic models: Dynamics and emergence of oscillations
T2  - Mathematical Methods in the Applied Sciences
VL  - N/A
AU  - Tajani, A.
AU  - Silva, C. J. 
AU  - Cantin, G.
PY  - N/A
SN  - 0170-4214
DO  - 10.1002/mma.70334
UR  - https://onlinelibrary.wiley.com/journal/10991476
AB  - In this paper, we construct a hybrid epidemic mathematical model based on a reaction–diffusion system of the SIR (susceptible-infected-recovered) type. This model integrates the impact of random factors on the transmission rate of infectious diseases, represented by a probabilistic process acting at discrete time steps. The hybrid model couples a continuous reaction–diffusion system, which describes the spatiotemporal dynamics of the infectious disease, with a discrete probabilistic process that models potential change in the transmission rate. We establish properties of both biological and mathematical interest in the hybrid model, including the existence of global solutions, stability analysis of equilibrium points, and the emergence of oscillatory behaviors. Additionally, we extend the hybrid model by including vaccination. The dynamics and emergence of oscillations in the hybrid model are investigated under various scenarios, which are illustrated through numerical simulations.
ER  -