An agent-based model with antibody dynamics information in COVID-19 epidemic simulation.

ABSTRACT: Accurate prediction of the temporal and spatial characteristics of COVID-19 infection is of paramount importance for effective epidemic prevention and control. In order to accomplish this objective, we incorporated individual antibody dynamics into an agent-based model and devised a methodology that encompasses the dynamic behaviors of each individual, thereby explicitly capturing the count and spatial distribution of infected individuals with varying symptoms at distinct time points. Our model also permits the evaluation of diverse prevention and control measures. Based on our findings, the widespread employment of nucleic acid testing and the implementation of quarantine measures for positive cases and their close contacts in China have yielded remarkable outcomes in curtailing a less tr

SUBMITTER: Xu Z 

PROVIDER: S-EPMC10685381 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature