Disease modelling
Disease modelling solutions use connectivity models to understand disease transmission and impact in aquaculture yield over space and time
Disease modelling solutions use connectivity models to understand disease transmission and impact in aquaculture yield over space and time
Understand the interactions between husbandry, pathogens and environment comparing direct shifts in seasonality, ocean temperatures and acidification. Multi-stressor analysis uses integrated modelling incorporating physics, husbandry, pathogens and environment.
Assess pathogen prevalence depending on environmental conditions and host species for finfish and shellfish. Pathogen-host interactions deal with growth models and coupled with transport models to evaluate spread between farming sites.
Assessment impact cage separation through simulation of lateral exchange of water properties under high and low dispersion scenarios.
Calculate the effect pathogen outbreaks have on yield, accounting for harvest, undersized and dead animals under real-life conditions.
Our platform captures disease outbreaks at a large-scale, providing actionable analytics that inform bio-security requirements, response actions to identify and contain disease outbreaks in aquaculture.
View disease outbreaks on the analytics dashboard to under the local burden of disease by location, species, and pathogen to gain insights on areas of improvements and disease traceability.
Align policy to reduce the global burden of disease in aquatic animals addressing the primary disease challenges and the effects of different diseases.