- Analyzing and using data - this topic explains how data can be used and analyzed, including evaluation the quality of the data, fitting distribution to data, and estimating model parameters.
- The Poisson process- this topic discussed the Poisson process, which is often used when estimating or simulating the occurrence of events like epidemics or accidents (see also the EID Events model listed above).
- Additional probabilistic models - in this topic, you'll find links to many other case studies and example models.
- This McKinsey article provides some ideas of what effort and investments are needed to help prevent future pandemics.
Webinar 2: Lessons from COVID: embracing uncertainty as a key part of the decision-making process