## 2 Materials and Methods
### Model Description  
The model description in this study was designed using the Overview, Design Concepts, and Details (ODD) protocol for describing agent-based models [61]. The overview component of our model defines its purpose, entities, state variables, and process overview. This model aims to simulate the daily dynamics of a micro-community during a COVID-19 outbreak. As a result, the agent-based model considers three core processes: daily campus routine, transmission, and learning. Firstly, the daily campus routine describes how agents move around campus following their schedule. Secondly, the transmission process explains how the disease spreads through close contact with infected individuals. Lastly, the learning process describes how people learn to avoid crowds by trial and error. Additionally, the model has four types of entities: students, campus staffers, places, and the environment. Students and campus staff are referred to as agents. They represent real-life community members, so they emulate the epidemic interactions between individuals on campus. Each agent has a predetermined weekly routine. A routine is a set of scheduled activities an agent performs in several places. During the initialization process, each agent is assigned a plan according to its type. For instance, students follow an academic program comprising classes, laboratories, lectures, and other educational activities, while staffers follow a traditional office calendar. Following a plan means going to a facility, staying there for a predetermined amount of time, and leaving for the next activity once the current event ends. In the campus environment, places serve as locations where agents engage in various activities or move between spots. In total, there are 87 distinct sites on the campus, encompassing a variety of types, including educational facilities, dining areas, communal spaces, parking lots, transit locations, entrances, and exits. Academic buildings make up a significant portion, totaling 23 buildings that span an expansive area of 64,624 m\({}^{2}\), considering multiple floors within each building. Additionally, there are 20 common zones dispersed across the campus, accounting for a combined area of 37,118 m\({}^{2}\). The dining areas, referred to as eating places, amount to 6 in total, collectively occupying 3821 m\({}^{2}\). Furthermore, the campus has 7 pedestrian gates for pedestrians, covering an area of 210 m\({}^{2}\). For agents moving within the campus, there are 24 transit zones available, collectively spanning an area of 11,388 m\({}^{2}\). Finally, vehicle gates are present at 7 locations, contributing to a total area of 210 m\({}^{2}\). This information provides valuable insights into the spatial distribution and size of these diverse site types within the campus environment. At the onset of the pandemic, the country recommended maintaining a social distance of 2 m between individuals. This guideline offers a perspective on the potential capacity of these areas under pandemic conditions. For instance, strict adherence to the 2 m distancing rule implies that an open space of 100 m\({}^{2}\) could theoretically accommodate a maximum of 25 individuals, assuming each person occupies a circular area with a radius of 2 m. However, it is important to recognize that the actual capacity of these areas may be lower due to factors like room geometry, the presence of entrances and exits, and the need for pathways to facilitate movement. Determining the capacity of these areas under social distancing guidelines is a crucial consideration when planning campus operations and activities during the pandemic. The description of these places is fundamental to estimating the population density at each simulation step. Also, agents walk through or stay at these places, depending on their routine. Finally, the environment is a single entity that keeps track of the simulation and controls when the outbreak starts. Explicitly, this entity manages global behavior and, therefore, is critical to perform the experiments.