Hygiene and biosecurity: the language and politics of risk in an era of emerging infectious diseases

Infectious diseases, such as methicillin-resistant Staphylococcus aureus and avian influenza, have recently been high on the agenda of policy makers and the public. Although hygiene and biosecurity are preferred options for disease management, policy makers have become increasingly aware of the critical role that communication assumes in protecting people during outbreaks and epidemics. This article makes the case for a language-based approach to understanding the public perception of disease. Health language research carried out by the authors, based on metaphor analysis and corpus linguistics, has shown that concepts of journeys, pathways, thresholds, boundaries and barriers have emerged as principal framing devices used by stakeholders to advocate a hygiene based risk and disease management. These framings provide a common ground for debate, but lead to quite different perceptions and practices. This in turn might be a barrier to global disease management in a modern world.

Delays in activity based neural networks

In this paper we study the effect of two distinct discrete delays on the dynamics of a Wilson-Cowan neural network. This activity based model describes the dynamics of synaptically interacting excitatory and inhibitory neuronal populations. We discuss the interpretation of the delays in the language of neurobiology and show how they can contribute to the generation of network rhythms. First we focus on the use of linear stability theory to show how to destabilise a fixed point, leading to the onset of oscillatory behaviour. Next we show for the choice of a Heaviside nonlinearity for the firing rate that such emergent oscillations can be either synchronous or anti-synchronous depending on whether inhibition or excitation dominates the network architecture. To probe the behaviour of smooth (sigmoidal) nonlinear firing rates we use a mixture of numerical bifurcation analysis and direct simulations, and uncover parameter windows that support chaotic behaviour. Finally we comment on the role of delays in the generation of bursting oscillations, and discuss natural extensions of the work in this paper.