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Effect of diseases on symbiotic systems
Pankaj Kumar Tiwari1, Sourav Kumar Sasmal2, Amar Sha2
1Dipartimento di Matematica "Giuseppe Peano", Universitá di Torino, via Carlo Alberto 10, 10123 Torino, Italy.
Introducing a symbiotic species can help control disease spread within populations. This study models mutualistic relationships and disease dynamics, finding symbiosis offers a viable disease management strategy.
Area of Science:
- Ecology
- Mathematical Biology
- Epidemiology
Background:
- Symbiotic communities involve species living together.
- Disease outbreaks can significantly impact population dynamics within these communities.
- Traditional models like Lotka-Volterra often focus on direct interactions, not indirect effects on carrying capacities.
Purpose of the Study:
- To analyze mutualistic symbiotic models with disease spread in one population.
- To characterize symbiotic relationships by examining mutual influences on carrying capacities.
- To understand how strong interdependencies affect population dynamics and disease transmission.
Main Methods:
- Mathematical modeling of mutualistic populations with disease.
- Analysis of equilibria for feasibility and stability.
- Numerical simulations and global sensitivity analysis to identify key parameters.
Main Results:
- The functional dependence of carrying capacities reflects indirect interactions.
- Infective growth rate and disease-related mortality significantly impact system stability.
- Strong symbiotic influences can alter population dynamics and disease spread.
Conclusions:
- Introducing a symbiotic species is a plausible method for disease control.
- Symbiosis can stabilize populations and mitigate disease effects.
- The study highlights the importance of indirect interactions in ecological models with disease.
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