# Coinfection in a stochastic model for bacteriophage systems

## TL;DR

This paper analyzes a stochastic model of bacteriophage treatments with coinfections, demonstrating long-term convergence to bacteria-free states and comparing treatment efficiencies with and without coinfection.

## Contribution

It introduces a stochastic model incorporating coinfections and provides analysis of its long-term behavior and treatment effectiveness.

## Key findings

- System converges to bacteria-free equilibrium in small noise regime
- Coinfection affects the required bacteriophage dose
- Coinfection influences the convergence speed

## Abstract

A system modeling bacteriophage treatments with coinfections in a noisy context is analyzed. We prove that in a small noise regime, the system converges in the long term to a bacteria free equilibrium. Moreover, we compare the treatment with coinfection with the treatment without coinfection, showing how the coinfection affects the dose of bacteriophages that is needed to eliminate the bacteria and the velocity of convergence to the free bacteria equilibrium.