Has anything (study or studies) come out that analyzes likely COVID-19 (or similar diseases) severity vs. viral load / amount of exposure? That is, for example, in settings where heavy exposure might be more likely, are cases tending to be more severe after other risk factors are accounted for?
Obviously, each person has a “threshold” above which they get infected and can be a spreader. But, do increasingly heavy exposures tend to lead to increasingly severe cases?
I think NYC would be an example of that?
Brushing past someone in the produce section of Trader Joe’s in LA and then going to the beach for an ample dose of D3 is WAY different than sitting on a metro north train for 30m next to an infectious person.