Viral mutation spread controlled by inter-host network dynamics

TL;DR

This paper investigates how the structure of host interaction networks influences the emergence and spread of aggressive mutant viruses, proposing models and interventions to control their propagation.

Contribution

It introduces simplified mathematical models that incorporate network topology to analyze viral mutation spread and suggests network-based strategies for containment.

Findings

Network topology significantly affects viral mutation spread.

Interventions based on network structure can mitigate contagion.

Models provide insights into viral evolution and containment.

Abstract

The increase in the connectivity between hosts in recent times has facilitated the emergence of more aggressive mutant viral strains, making their containment and eradication significantly more challenging compared to the original variants. We focus on the evolution of a new more aggressive mutant strain that appears in the system and competes with a previous version. The role of host interaction network topology in the emergence and spatial diffusion of these highly contagious strains is analyzed, as well as how network-based interventions can help mitigate their spread. To address these issues, we present simplified mathematical models that qualitatively describe the occurrence, propagation, and impact of such mutations within host-interaction networks. By incorporating the topology of the host network into the analysis, a more advanced framework is proposed to curb the growth of mutant strains. Extensive numerical simulations of these models offer insights into the mechanisms driving viral evolution, the dynamics of contagion, and the topological influence of host networks on viral spread and containment strategies.