Challenge #1: too many variables to consider (airflow, humidity, temperature, particle size)
Challenge #2: Data inconsistencies with real-world variables like infection rates, particle sizes, etc.
Challenge #3: no clear understanding of what a "dangerous level of exposure" is to these diseases, so it may be difficult for the model to estimate transmission risks