Finding bifurcations in mathematical epidemiology via reaction network methods
Mathematical Epidemiology (ME) shares with Chemical Reaction Network Theory (CRNT) the basic mathematical structure of its dynamical systems. Despite this central similarity, methods from CRNT have been seldom applied to solving problems in ME. We explore here the applicability of CRNT methods to find bifurcations at endemic equilibria of ME models.
Authors
- Nicola Vassena (ORCID: https://orcid.org/0000-0001-5411-4976)
- Florin Avram (ORCID: https://orcid.org/0000-0002-2615-0950)
- Rim Adenane (ORCID: https://orcid.org/0000-0001-6028-5501)
Institutions
- Laboratoire de Mathématiques d'Orsay (FR)
- Université Ibn-Tofail (MA)
- Leipzig University (DE)
Publication Details
- Journal
- Chaos An Interdisciplinary Journal of Nonlinear Science
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1063/5.0221082
- Citations
- 3
- Primary Topic
- Mathematical and Theoretical Epidemiology and Ecology Models
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- Deutsche Forschungsgemeinschaft