Deadly Distribution
Strategy
Free · Designed for iPad. Not verified for macOS.
iPad
A pandemic threatens the lives of the people of the peaceful nation of Kalgana. Several new and deadly diseases have been discovered and are spreading quickly amongst the populous. As the nation’s regional director for disease control, the player has been put in charge of monitoring the situation and managing how treatments are distributed.
Deadly Distribution is a turn-based strategy game based on actual epidemiology models and authentic statistical analysis. The game focuses on sample sizes, the Central Limit Theorem, and confidence intervals.
Over the course of four missions, players will take sample studies of the population to get an idea of how far the disease has spread. Then, using their understanding of statistical concepts, players will analyze the data provided by their studies to determine which treatments to use and when to seal off regions to prevent outbreaks. Each action costs money, though, and money is a finite resource that must be managed as much as the disease itself.
Winner of Best Web-Based game and 3rd Place overall at the 10th European Conference on Games Based Learning, 2016
Ratings & Reviews
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The developer, K20 Center - University of Oklahoma, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Linked to You
The following data may be collected and linked to your identity:
- Contact Info
- Identifiers
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
- Seller
- The Board of Regents of the University of Oklahoma
- Size
- 82.4 MB
- Category
- Strategy
- Compatibility
Requires iPadOS 12.0 or later.
- iPad
Requires iPadOS 12.0 or later. - Mac
Requires macOS 11.0 or later and a Mac with Apple M1 chip or later. - Apple Vision
Requires visionOS 1.0 or later.
- iPad
- Languages
- English
- Age Rating
4+
- 4+
- Copyright
- © 2017 - K20 Center at University of Oklahoma
