HIGHLIGHTS
SUMMARY
The authors proposed a domain-knowledge-driven infection risk model to quantify the individual HCP and the population-level risks. For individual-level risk estimation, a time-variant infection risk model is proposed to capture the transmission dynamics of CVDs. For the population-level risk model validation, the infection risk in Texas and California was estimated, in which the infection risk in Texas was lower than that in California. The proposed framework consists of two sub-models: an individual-level infection risk model that quantifies the risk of infection of an HCP, and_(2 . . .
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