Cargando…
Optimize data-driven multi-agent simulation for COVID-19 transmission
BACKGROUND: Multi-Agent Simulation is an essential technique for exploring complex systems. In research of contagious diseases, it is widely exploited to analyze their spread mechanisms, especially for preventing COVID-19. Nowadays, transmission dynamics and interventions of COVID-19 have been elabo...
Autores principales: | Jin, Chao, Zhang, Hao, Yin, Ling, Zhang, Yong, Feng, Sheng-zhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250248/ https://www.ncbi.nlm.nih.gov/pubmed/35778688 http://dx.doi.org/10.1186/s12859-022-04799-4 |
Ejemplares similares
-
Multi-agent simulation model for the evaluation of COVID-19 transmission
por: Castro, Brenno Moura, et al.
Publicado: (2021) -
Multi-agent simulation model updating and forecasting for the evaluation of COVID-19 transmission
por: Castro, Brenno Moura, et al.
Publicado: (2022) -
An edge-driven multi-agent optimization model for infectious disease detection
por: Djenouri, Youcef, et al.
Publicado: (2022) -
Determination of optimal prevention strategy for COVID-19 based on multi-agent simulation
por: Fujita, Satoki, et al.
Publicado: (2022) -
Integration of small world networks with multi-agent systems for simulating epidemic spatiotemporal transmission
por: Liu, Tao, et al.
Publicado: (2010)