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Agent-based simulation model for COVID-19 spread in society and patient outcomes

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## Background At the moment, the situation appears roughly as follows: - behavior change interventions focus single dimensionally on epidemic effects - a limited number of possible interventions have been...

It appears that the fatality rate topic can be broken down as follows: - infectious fatality rate - case fatality rate - hospitalized fatality rate - ICU (non-ventilated) fatality rate...

Is there a natural interpretation for the value (`Arvo`) of the events in the simulator (e.g. cases, people)? If so, it would be helpful to let user know up front...