Effectiveness of Different Control Measures on the Spread of COVID-19

Abstract

The COVID-19 pandemic has influenced most of the population worldwide. It is essential to assess the effectiveness of different control measures on the spread of the virus. In this paper, the author uses an SEIR agent-based model on the NetLogo platform to establish a simulation model and define seven types of agents: susceptible, infectious, mask-wearing, quarantined, exposed, and vaccinated. We performed an analysis of four possible scenarios: (1) doing nothing, (2) quarantine, (3) using face masks, and (4) vaccination. It is concluded that the adoption of different control measures could quickly control the epidemic situation. The use of vaccination also has a huge impact on the pressure of epidemic control. Nevertheless, If control measures are not put in place, the duration of the epidemic will be significantly prolonged.