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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...

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.

One of the key methods for gaining insight into the unknowns of the COVID-19 pandemic is to use simulation modeling. This is true for many disciplines across business and research, as reflected in the collection of public models being uploaded to AnyLogic Cloud. Here we gather a variety of COVID-19 related simulation models.

See the models and try them out!

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...

The webinar Hybrid Dynamic Models in COVID-19 Planning and Beyond drew in a record number of attendees and prompted some great questions around the theme of simulation modeling and healthcare planning.

Dr. Nathaniel Osgood, a Professor in the Department of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology at the University of Saskatchewan, provided great insight into simulation modeling related to healthcare. Read on for the webinar details, recording, and Dr. Nathaniel Osgood’s Q&A answers.

Our AnyLogic partners in China obtained a paper relating to COVID-19 and permission to publish a translation.

Writing this now, there is obviously a lot of interest surrounding the spread of the COVID-19, the coronavirus disease. The paper studies the prevalence of infection in a population using agent-based simulation and looks at the importance of factors such as the frequency of close contact among a population.

Timothy E. Hoffman, Katherine J. Barnett, Lyle Wallis and William H. Hanneman of the Center for Environmental Medicine, Colorado State University are to be published in the October 2017 issue of the peer-reviewed Aging Cell journal of the Anatomical Society.

The aim of their investigation was to assess recent significant and unusual research observations regarding aging.

In cancer patients, an inability to access the surgical system can be lethal, but accessing it can be impoverishing, especially in low- and middle-income countries (LMICs).  A group from the Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical, supported by National Cancer Institute used AnyLogic Software to evaluate the health, financial, and equity impacts of governmental and charitable policies for surgical oncology in a resource-limited setting.

Indiana University Health Arnett (IUHA) is an integrated healthcare system which consists of a full service acute care hospital and a multispecialty clinic with approximately 200 providers at numerous locations. In the past, provider schedules were driven by individual preference which led to increased variation in scheduling rules that failed to meet employer or patient expectations. To better serve patients and maintain provider approval, IUHA sought to develop a scheduling methodology that provides same day access for a designated patient population while allowing acceptable access to the remaining patient population.

Traditional Marketing Mix models attempt to explore the tradeoffs amongst different marketing channels and the spends associated with them. The weaknesses of these models are, generally, their static nature and the restrictive assumptions required to apply their results. For these reasons, an American pharmaceutical company, one of the largest in the world, engaged with Sterling Simulation to explore the benefits of agent-based modeling, prior to launching a new product. The use-case was presented by Scott Hebert, Vice President of Sterling Simulation at the AnyLogic Conference 2015.