Included in this repository is Ipython notebooks to guide students through the fundementals of (1) a metapopulation model with a high-risk and low-risk group, (2) random networks and properties of social networks, and (3) one model to simulate how an infectious agent may propogate through a network of susceptible hosts.
This work is linked to the article: The Watermelon Meow Meow Outbreak: Enhancing Public Health Education Through Real-World Experience, Statistical Programming, and Infectious Disease Modeling that is published with PRIMUS (Problems, Resources, and Issues in Mathematics Undergraduate Studies). DOI =
The folder ./lessons/ contains three lessons corresponding to the above 3 fundemental concepts.
The folder ./wmm_networks/ contains all Watermelon Meow Meow (WMM) networks generated by the scientific community and uploaded to this repository.
If you wish to submit a WMM network from your class then you submit as a Pull Request a CSV file that contains at minimum columns: (1) infector (2) infected. The rows of this CSV should be infection events where one student "infects" another with the WMM disease.
Student names and any identifying formation should be excluded from this CSV file. The PR should state the title of the course, the semester in which the source was conducted, and a statement verifying that the WMM network data is de-identified.
Lecture material and helper functions are also avaiable on Datacamp at = https://app.datacamp.com/workspace/w/b9dfa999-1400-4455-b546-0488de9e5ab6
All questions can be directed to the below email addresses:
tom mcandrew, mcandrew@lehigh.edu
rochelle frounfelker, rof222@lehigh.edu
lorenzo servitje, los317@lehigh.edu