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Solutions to healthcare challenges: from hospital design to disease spread


Solutions to healthcare challenges: from hospital design to disease spread

Simulation is a powerful tool that helps plan hospital design and consider its capacity and resource utilization. Testing changes in a simulation rather than in real life leads to efficient and effective solutions based on the analysis of test results. The technology was frequently and successfully used during COVID-19 for evaluating disease spread and mass vaccination. Read how simulation is used to tackle healthcare-related challenges.

Scaling AnyLogic Models for Mass Runs and Sub-Second Responses


Scaling AnyLogic Models for Mass Runs and Sub-Second Responses

More runs, more users, and more model. More and more is demanded of simulation models as clients analyze greater numbers of scenarios, expand user access, and model in greater detail. How to scale and meet these demands?

PwC emerging technology senior manager Sindy Ma is an expert on scaling simulations. Her presentation at the AnyLogic Conference 2021 showed three real-world case studies of projects that met the challenge of scaling simulations for more scenarios, more users, and more model. Find out more...

Q&A: COVID-19 Mass Vaccination — Simulation, AI Application and Real-World Implementation


Q&A: COVID-19 Mass Vaccination — Simulation, AI Application and Real-World Implementation

As COVID-19 vaccines have become available, many challenges have needed resolving. Not least, ensuring sufficient supply and effective distribution.

At our webinar, March 2021, guest presenter Dr. Ali Asgary of York University, Canada, gave insight into the development and use of a drive-through mass COVID-19 vaccination simulation. He provided details of its machine learning model and online application, including how public authorities are using the results in their vaccination rollouts. Here are the webinar details, recording, and Q&A answers.

COVID 19: The Good, the Bad and the Agent Based Model


COVID 19: The Good, the Bad and the Agent Based Model

Why is it so hard to model the COVID-19 epidemic? In this guest blog Ignacio Brottier and Patricio Pipp look at how agent-based simulation modeling goes beyond traditional SEIR and its shortfalls.

The first step to understanding any system is asking ourselves what it is we are trying to understand and, as the team of FiveThirtyEight well explains in their very recommended article, understanding COVID-19’s evolution is no easy task...