Infection in a Confined Space using an Agent-Based Model

TL;DR

This paper presents an agent-based simulation of infection spread in a confined hospital waiting area, analyzing how space, population, placement, and weight influence infection dynamics.

Contribution

It introduces a detailed agent-based model to study infection transmission in confined spaces considering multiple factors.

Findings

Space volume affects infection spread

Population density influences transmission risk

Placement and weight impact infection dynamics

Abstract

This study examined a simulated confined space modelled as a hospital waiting area, where people who could have underlying conditions congregate and mix with potentially infectious individuals. It further investigated the impact of the volume of the waiting area, the number of people in the room, the placement of them as well as their weight. The simulation is an agent-based model (ABM).