An agent-based model with antibody dynamics information in COVID-19 epidemic simulation.
Infect Dis Model
; 8(4): 1151-1168, 2023 Dec.
Article
em En
| MEDLINE
| ID: mdl-38033394
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 transmissible yet more virulent strain; however, they may prove inadequate against highly transmissible and less virulent variants. Additionally, our model excels in its ability to trace back to the initial infected case (patient zero) through early epidemic patterns. Ultimately, our model extends the frontiers of traditional epidemiological simulation methodologies and offers an alternative approach to epidemic modeling.
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Base de dados:
MEDLINE
Idioma:
En
Revista:
Infect Dis Model
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
China