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  • 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

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