I’m looking to model a hypothetical scenario:

Assume 15,000 individuals living in an area of 12 sq/km.

avg person is 6’.

Assume that 2/3rd of all individuals enter into 1 of 3 different buildings 2 times a day.

Assume 1/3rd of all individuals enter 1 of these same 3 buildings 3 times a day.

Assume that every day 200400 individuals leave this 12sq/km area, and 200400 new individuals enter it.

Assume a healthcare system has 100 ventilators and 200 ICU beds ready to support this environment

Assume 25% of individuals overtly practice social distancing (altering their path, actively maintaining 6ft+ distancing from all others) with an effectiveness of 80% (80% of the time they are able to maintain 6ft)

Assume a mean age of 30 with a highest age of 65, lowest age of 19

Assume at the beginning of the scenario that of the 200400 new individuals entering the environment, 1 will be infected on the first day, 2 on the 2nd, 3 on the 3rd etc.

Assume detection and quarantine of all new individuals with an 80% success rate (80% of the time, the infected are detected and quarantined.
So 15k people, 66% enter one of 3 buildings twice a day, and the other 33% enter one of three buildings three times a day.
If you have other varibles that you’d like me to include just let me know. I’ve been playing with paul vangents python models, but I am fairly new to python(and numpy, etc.) So I thought I’d get some more experience on the problem.
I have a feeling you guys might be busy, but thanks in advance! Stay safe, and wash your hands!
Moderator note: this request was received via our Google Form. If you have questions for the asker, please feel free to ask in the comments and we will mediate. Internal note: entry #5.