COVID-19

Managing
COVID-19

Free Resources using Simulation and Analytics


Now more than ever, a structured, rational, and probabilistic approach to managing uncertainty is critical.

Randy Heffernan
CEO, Palisade Company

At this moment, uncertainty is at an all-time high. Never in modern history have public health and the global economy seen this level of turmoil. Palisade is committed to helping organizations cope with these unprecedented challenges through objective, data-driven analysis that takes the noise out of the discussion and zeroes in on what’s most important to you.

To that end, we have compiled the following resources to help organizations plan and respond during this time of crisis. We will update this resource center periodically, and will continue to stay in touch via email and our social media channels.

Supporting our Community

A message from the CEO on how Palisade is making adjustments while remaining fully operational to respond to your needs.

Read the message

On-Demand Webinar: Emergency Preparedness Planning Before and During a Crisis

Check out this free webinar on capacity planning in New Orleans from Henry Yennie, Program Manager with the Louisiana Department of Health.

The current COVID-19 pandemic has kick-started a world of forecasting and “modeling” designed to anticipate the need for scarce medical resources. Across the country, modelers are producing estimates for leadership that have been orders of magnitude wrong, like in the case of the depletion of hospital beds.

In this webinar, Henry Yennie reviews the history of emergency preparedness planning efforts over the last 15 years and shows us some stochastic models that have been employed based on distributions of data with @RISK

Watch the On-Demand Webinar

Download the example models for this webinar

On-Demand Webinar: Modelling the Spread of a Disease with @RISK 8.0

In this presentation, Dr. J. Raúl Castro, shows us how to use @RISK 8 to understand the spread of disease like Coronavirus.

As the current COVID-19 pandemic evolves over time, people keep asking "When will it be over?". It is a question we probably all want to know the answer to and nobody knows for sure as it depends of many factors. In general, estimates are particularly difficult because any modelling or future predictions for coronavirus and the scale of it is unprecedented in living memory. This is why the use of innovative techniques such as Monte Carlo simulation provide a useful framework to be prepared for worst and best scenarios that could occur in practice.

In this webinar Raul reviews a simple model on @RISK that could be applied to understand the spread of a disease like Coronavirus in order to identify the time it takes to observe a reduction in the number of infections within a certain population.

Watch the On-Demand Webinar

Download the example models for this webinar

Free Software: @RISK and DecisionTools Suite

Use @RISK and DecisionTools Suite free of charge immediately – no waiting for approval, and no restrictions on functionality.

Download a 15-day version anytime, 24 hours a day

Need Remote Access? Use @RISK Anywhere, and Defer Payment

For users with standalone licenses of @RISK or DecisionTools Suite software, switching to network licenses can help minimize the disruption in your work that sudden changes to your work environment cause. Network versions allow remote access to a computer from anywhere, and also enable multiple users to share a license.

Network licenses are available in a budget-friendly, flexible subscription model. In addition, in recognition of the cash flow strain COVID-19 is causing some businesses, we are able to offer a deferred payment plan for multiple-year subscriptions.

Learn more

Model: Simulating When an Infection Starts to Slow

This model, developed by Palisade consultant José Raúl Castro, uses @RISK to simulate when, after the start of a pandemic, the spread of an infection will start to slow. The assumptions were built using approximate data for the COVID-19 pandemic, and applied to a hypothetical population of 1,000 individuals. The simulation examines 1,000 different scenarios (iterations of a simulation).

Distributions

Learn more and download the model for free

Case Studies: Preparing for a Pandemic

Hospital capacity shortages, unexpected costs, schedule delays, supply chain disruptions – all of these risks are now everyday occurrences. Read how organizations such as Kinder Morgan, Johns Hopkins, and the Mayo Clinic approach these challenges using Monte Carlo simulation to determine the actual probabilities of the coronavirus impacting your organization.

FAQ About Palisade

Have questions about how Palisade is operating and what to expect in the near future? Palisade remains fully operational and ready to server, and we’ve compiled the most common questions here.

Click here for answers to common questions