The complexity of developing an optimized "release strategy" requires a modelling approach, as undertaking field trials to develop this strategy is not an option - due to the impossibility of containing the virus to the trial site. Whilst it might be possible to develop a theoretical model for release, it is much preferable that this be based on the available and relevant data that exists for each catchment. To achieve this we will develop a series of inter-related hydrological, ecological, demographic and epidemiological models, and integrate these using a Big Data approach, where the underlying data is stored in databases and accessed using work-flow tools such as CSIRO's Workspace (https://research.csiro.au/workspace/)

1. Develop a series of inter-related hydrological, ecological and epidemiological models that will enable the development of a strategy to inform the strategic staged release of CyHV-3 so as to deliver maximum impact whilst minimizing the major anticipated adverse ecological consequence, i.e. large scale anoxic river events.

2. Develop Big Data management and visualization systems for delivering the large amount of data that will arise from the modelling exercises in an interactive and informative manner.