Emergence of synergistic and competitive pathogens in a co-evolutionary spreading mode
arXiv:2108.04788 · doi:10.1103/PhysRevE.105.034308
Abstract
Cooperation and competition between pathogens can alter the amount of individuals affected by a co-infection. Nonetheless, the evolution of the pathogens' behavior has been overlooked. Here, we consider a co-evolutionary model where the simultaneous spreading is described by a two-pathogen susceptible-infected-recovered model in an either synergistic or competitive manner. At the end of each epidemic season, the pathogens species reproduce according to their fitness that, in turn, depends on the payoff accumulated during the spreading season in a hawk-and-dove game. This co-evolutionary model displays a rich set of features. Specifically, the evolution of the pathogens' strategy induces abrupt transitions in the epidemic prevalence. Furthermore, we observe that the long-term dynamics results in a single, surviving pathogen species, and that the cooperative behavior of pathogens can emerge even under unfavorable conditions.
arXiv comment9 pages, 7 figures. Final version accepted for publication
References in corpus (16)
- Epidemic spreading in scale-free networks
- Epidemic processes in complex networks
- Evolutionary games on graphs
- Multiscale mobility networks and the large scale spreading of infectious diseases
- Threshold effects for two pathogens spreading on a network
- Modeling the dynamical interaction between epidemics on overlay networks
- Multi-state epidemic processes on complex networks
- Outbreaks of coinfections: the critical role of cooperativity
- Fundamental properties of cooperative contagion processes
- Seasonal payoff variations and the evolution of cooperation in social dilemmas
- Phase Transitions in Cooperative Coinfections: Simulation Results for Networks and Lattices
- Co-circulation of infectious diseases on networks
- Unfair and Anomalous Evolutionary Dynamics from Fluctuating Payoffs
- Exact solution of generalized cooperative SIR dynamics
- Host-virus evolutionary dynamics with specialist and generalist infection strategies: bifurcations, bistability and chaos
- A network model for the propagation of Hepatitis C with HIV co-infection