A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility.

ABSTRACT: The COVID-19 pandemic has created an urgent need for mathematical models that can project epidemic trends and evaluate the effectiveness of mitigation strategies. A major challenge in forecasting the transmission of COVID-19 is the accurate assessment of the multiscale human mobility and how it impacts infection through close contacts. By combining the stochastic agent-based modeling strategy and hierarchical structures of spatial containers corresponding to the notion of geographical places, this study proposes a novel model, Mob-Cov, to study the impact of human traveling behavior and individual health conditions on the disease outbreak and the probability of zero-COVID in the population. Specifically, individuals perform power law-type local movements within a container and global trans

SUBMITTER: Chen K 

PROVIDER: S-EPMC10148626 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature