  The global public health landscape is perpetually challenged by the looming
threat of infectious diseases. Central to addressing this concern is the
imperative to prevent and manage disease transmission during pandemics,
particularly in unique settings. This study addresses the transmission dynamics
of infectious diseases within conference venues, presenting a computational
model designed to simulate transmission processes within a condensed timeframe
(one day), beginning with sporadic cases. Our model intricately captures the
activities of individual attendees within the conference venue, encompassing
meetings, rest intervals, and meal breaks. While meetings entail proximity
seating, rest and lunch periods allow attendees to interact with diverse
individuals. Moreover, the restroom environment poses an additional avenue for
potential infection transmission. Employing an individual-based model, we
meticulously replicated the transmission dynamics of infectious diseases, with
a specific emphasis on close-contact interactions between infected and
susceptible individuals. Through comprehensive analysis of model simulations,
we elucidated the intricacies of disease transmission dynamics within
conference settings and assessed the efficacy of control strategies to curb
disease dissemination. Ultimately, our study proffers a numerical framework for
assessing the risk of infectious disease transmission during short-duration
conferences, furnishing conference organizers with valuable insights to inform
the implementation of targeted prevention and control measures.
