Of course, his chance of catching it, given he is not shielded and has a high contact job , isn't factored in
Which does of course make it completely and utterly useless for its status purpose of:
"help patients and doctors reach a shared understanding of risk, within the context of individual circumstances, risk attitude and the sorts of preventative measures people can take in their daily lives."
Because it's completely ignored the risk attitude and user underlying the data, if you don't know what other people are doing, you might imagine that you are taking a much higher risk than others, when you're taking less, and the reverse.
Of course you can't fit that info into the model, as they don't have the data on what individual risk mitigations people are doing to fit to the data (which could be enough to explain the male/female difference even, people tend to suggest male hygiene is worse...)