Multi-agent system collision model to predict the transmission of seasonal influenza in Tokyo from 2014–2015 to 2018–2019 seasons

The objective of this study was to apply the multi-agent system (MAS) collision model to predict seasonal influenza epidemic in Tokyo for 5 seasons (2014–2015 to 2018–2019 seasons). The MAS collision model assumes each individual as a particle inside a square domain. The particles move within the do...

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Detalles Bibliográficos
Autores principales: Tomizawa, Nobuo, Kumamaru, Kanako K., Okamoto, Koh, Aoki, Shigeki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391024/
https://www.ncbi.nlm.nih.gov/pubmed/34485738
http://dx.doi.org/10.1016/j.heliyon.2021.e07859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391024/
https://www.ncbi.nlm.nih.gov/pubmed/34485738
http://dx.doi.org/10.1016/j.heliyon.2021.e07859

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