Epidemic spread
Use case
Key moments in decision-making
With little technological support
In the global world, the spread of new pathogens can be extremely rapid as demonstrated by the COVID-19 pandemic. Having tools to model and simulate the spread of emerging infectious diseases is fundamental for public health. Simulations informed by mobility data can be used to predict the most likely trajectories of disease spread. However, the use of simulations often requires the use of intensive computing resources that are generally not within the reach of health management institutions.
An open-source platform for forecasting
Scalable to new location
At MePreCiSa we are developing a simulation and analysis tool based on cloud computing that allows us to integrate mobility data and simulate different scenarios in parallel. The objective is to provide a simple, efficient and robust tool to facilitate the design of effective interventions to control outbreaks of emerging diseases.
By anticipating outbreaks, we can respond early and localised, optimising the distribution of limited resources such as medical personnel and vaccines. Furthermore, simulations are a key tool to evaluate the effectiveness of different control measures, such as quarantines and vaccination campaigns, ensuring that the most effective and less disruptive strategies are implemented.
