Success Story

Assisting Decision Makers To Solve Global Challenges With HPC Applications – Covid-19 Modelling

Scatter plot of the spread of COVID-19 cases across the London borough of Brent in UK. In this image we show all the buildings that are incorporated into a FACS model for the Borough of Brent. Each house location contains one or more households, each containing one or more persons.

CHALLENGE:​

The current pandemic situation has increased the need of supporting tools to detect, predict and even prevent the virus spread behaviour. Knowing in advance this information will support them to take the appropriate decisions while considering health and care capabilities. In addition, the advance warning of new pandemic waves (or when they may subside) can help health authorities to rescale the capacity for non-urgent care, and ensure the timely arrangement of surge intensive-care capacity.

Assisting Decision Makers To Solve Global Challenges With HPC Applications – Migration Issues

Challenge: overview of a historical emergency situation in Sudan. Reports such as these and those from the UNHCR can be used to validate our modelling approach against.

CHALLENGE:​

At the same time of the current COVID-19 pandemic, other crises have not stopped like forced migration due to conflicts. In fact, the number of forcibly displaced people is still very high, with over 70 million persons being forced to leave their homes. Save the Children provides support in these countries and needs more accurate estimations on people flows and even destinations to send the appropriate amount of help to the right place.

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