Reopen schools safely: simulating COVID-19 transmission on campus with a contact network agent-based model

the COVID-19 vaccination has been quickly rolling out around globe, evaluation of effects vaccinating populations for safe reopening schools become a focal point educators, decision-makers, and general public. Within this context, we develop contact network agent-based model (CN-ABM) to simulate on-campus disease transmission scenarios. The CN-ABM establishes networks agents based on their daily activity patterns, evaluates agents’ health status change in different environments, then simulates epidemic curve. By applying real-world campus environment, identify how community risk levels, teaching modalities, rates would shape results show that without vaccination, retaining under 50% students can largely flatten curve, having 25% achieve best result (peak value < 1%). With maximum 75% at least 45% rate suppress 65% result. developed be employed assist local government school officials with developing proactive intervention strategies safely reopen schools.