Agent-based microscopic modeling method simulates market virus transmission

The complexity and global impact of the spread of the new coronavirus (SARS-CoV-2) has aroused widespread concern. In the county-level disease transmission network, various market Spaces are important places for the concentration of personnel exchanges and the spread of diseases. At present, in the agent-based microsimulation models of similar places at home and abroad, it is not reasonable to model the complex interaction mechanism between people, space and prevention and control policies related to disease transmission and control. Most of the descriptions of transmission paths only consider person-to-person infection, without considering surface-to-person infection, which affects the evaluation of comprehensive prevention and control policies. Based on this, a micro-simulation model of disease transmission in farmers' market was proposed, which was composed of individual agent (P agent), market space agent (S agent) and policy intervention agent (I agent). The model included two kinds of transmission path disease transmission models: person-to-person contact transmission and person-to-object contact transmission. Microsimulation models were used to assess the likelihood of dynamic zeroing of individual interventions (detection, masks and vaccines), space-specific interventions (ventilation, orientation of entrances or exits, disinfection and limit the number of people entering and leaving the market) and integrated control policies at each stage.