The role of social mixing in increasing airborne disease infection rates
Let’s imagine two very simple infection scenarios. They are analogous to typical interactions that occur in bars, clubs and other social events. In the first scenario one infected person is talking to another uninfected person. The probability of the person being infected will look like; We’ve set the infection probability as being 50% per 10 minutes of exposure. The x axis is time in minutes. The reason for its curve is for each additional 10 minute time unit an additional 50% is added. Note: The time lengths are arbitrary, and chosen for illustrative purposes. The graph tends towards 1, with…