A mesoscale agent based modeling framework for flow-mediated infection transmission in indoor occupied spaces.

ABSTRACT: The ongoing Covid-19 pandemic, and its associated public health and socioeconomic burden, has reaffirmed the necessity for a comprehensive understanding of flow-mediated infection transmission in occupied indoor spaces. This is an inherently multiscale problem, and suitable investigation approaches that can enable evidence-based decision-making for infection control strategies, interventions, and policies; will need to account for flow physics, and occupant behavior. Here, we present a mesoscale infection transmission model for human occupied indoor spaces, by integrating an agent-based human interaction model with a flow physics model for respiratory droplet dynamics and transport. We outline the mathematical and algorithmic details of the modeling framework, and demonstrate its validity

SUBMITTER: Mukherjee D 

PROVIDER: S-EPMC9391028 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature