  It is estimated that around 80\% of the world's population live in areas
susceptible to at-least one major vector borne disease, and approximately 20%
of global communicable diseases are spread by mosquitoes. Furthermore, the
outbreaks of such diseases are becoming more common and widespread, with much
of this driven in recent years by socio-demographic and climatic factors. These
trends are causing significant worry to global health organisations, including
the CDC and WHO, and-so an important question is the role that technology can
play in addressing them.
  In this work we describe the integration of an epidemiology model, which
simulates the spread of mosquito-borne diseases, with the VESTEC urgent
computing ecosystem. The intention of this work is to empower human health
professionals to exploit this model and more easily explore the progression of
mosquito-borne diseases. Traditionally in the domain of the few research
scientists, by leveraging state of the art visualisation and analytics
techniques, all supported by running the computational workloads on HPC
machines in a seamless fashion, we demonstrate the significant advantages that
such an integration can provide. Furthermore we demonstrate the benefits of
using an ecosystem such as VESTEC, which provides a framework for urgent
computing, in supporting the easy adoption of these technologies by the
epidemiologists and disaster response professionals more widely.
