Abstract

At the outbreak of the animal epidemic disease, farms that recover quickly from partially infected state can delay or even suppress the wide spreading of the infection over farm networks. In this work, we focus on how the spatial transmission of the infection is affected by both factors, the topology of networks and the internal resilience mechanism of nodes. We first develop an individual farm model to examine the influence of initial number of infected individuals and vaccination rate on the transmission in a single farm. Based on such intrafarm model, the farm network is constructed which reflects disease transmission between farms at various stages. We explore the impact of the farms vaccinated at low rates on the disease transmission into entire farm network and investigate the effect of the control on hub farms on the transmission over the farm network. It is shown that intensive control on the farms vaccinated at low rates and hub farms effectively reduces the potential risk of foot-and-mouth disease (FMD) outbreak on the farm network.

Highlights

  • The epidemic spreading in networks has attracted growing attention in recent years [1,2,3]

  • We investigated how the spatial transmission of the foot-and-mouth disease (FMD) infection is affected by the two factors; the network topology and the internal resilience mechanism of nodes

  • We first developed a mathematical model for FMD transmission in farm networks and investigated the effect of vaccination on the control of outbreak of FMD

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Summary

Introduction

The epidemic spreading in networks has attracted growing attention in recent years [1,2,3]. The most undesirable situation is internalization or localization of the disease even under regular practice of vaccination This implies the network is constantly “echoing” infections through highly connected nodes, resulting in continual reinfection of a constant fraction of farms. We develop a network-based model for transmission of infectious diseases of livestock, with a focus on internal structure of each node (farm). The model characterizes two distinct dynamical regimes: intrafarm dynamics where infection spreads fast among homogeneously mixing population following conventional compartment model and interfarm dynamics where the disease transmission occurs rather slowly along farm-to-farm contact networks. Throughout this paper, we exclude culling and other control measures, since we focus on investigation of the effect of the vaccination on the transmission of FMD in the farm network.

Robustness of Networks with Resilient Nodes
Intrafarm Model for FMD Transmission
Multiple Connected Farms
Sporadic Exposure to External Infections
Conclusion
Proof of Theorem 1
Findings
Proof of Theorem 2
Full Text
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