I went back to the Professor's article. It was posted on March 12, and he said
"He added: “I think we have between 50,000 and half a million cases right now walking around in the United States.”
With the R0 = 3 or "1 person infecting 3 other people" we can walk these numbers back.
So one infection cycle earlier, it would be 16,667 people - 166,667 people
Two infection cycles earlier, it would be 5,555 people - 55,555 people
Three infection cycles: 1852 people - 18,518 people
And those would have been spread out around the entire country. So how long is an infection cycle? Research says 4 days. So March 1, would represent the date of "3 infection cycles earlier." And a much smaller tally of cases.
If hundreds of people were sick in January, exposing 3 people, and cycling every 4 days. The number of cases at the end of March would be millions.
Let's do it:
Jan 15 - 300 CMs and guests are walking around WDW sick
Jan 19 - 900 people infected
Jan 24 - 2700 people
Jan 28 - 8100
Feb 2 - 24,300
Feb 6 - 72,900
Feb 10 - 218,700
Feb 14 - 656,100
Feb 18 - 1,968,300
Feb 22 - 5,904, 900
Feb 26 - 17,714,700
Mar 1 - 53,144,100
Mar 5 - 159,432,300
Mar 9 - 478,296,900
Mar 13 - Looks like I am wrong. It isn't Millions that would be infected today it would be Billions.
All stemming from the sick WDW people in January.
That is obviously NOT what is happening here. So either all the epidemiologists are wrong about the R0 or the serial interval, even though they DO match during the time everybody started tracking it everywhere. Or...
Is there any way you can believe your assumption was wrong, and THAT'S why you aren't seeing the effects you think you should?