: Could using machine-intelligence to determine prioritisation for vaccine rollout program be effective The rollout of vaccination programs tends to be based on a given set of rules (advice) devised by government UK example.

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Could using machine-intelligence to determine prioritisation for vaccine rollout program be effective
The rollout of vaccination programs tends to be based on a given set of rules (advice) devised by government UK example. Such a rule-set are generally limited in complexity in order to be consistently applied by humans administering the roll-out.
There is a strong association between age and risk nature but it appears below the age of 60 that other factors such as sex/deprivation/ethenicity predominate. There is also mounting evidence towards mental disorders holding a significant risk factor risk factors and mental disorders
Is there any openly available papers or modelling showing a data-driven prioritization of vaccination (for example using machine-intelligence), especially in the scenario of limited vaccine availability, would be more effective than simply using age alone as the predicate.

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