Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model
Description
Interaction-driven modeling of diseases over real-world contact data has been shown to promote the understanding of the spread of diseases in communities. This temporal modeling follows the path-preserving order and timing of the contacts, which are
