Determination of optimal prevention strategy for COVID-19 based on multi-agent simulation

This study proposes a direction for the utilization of multi-agent simulation (MAS) to consider an optimal prevention strategy for the spread of the coronavirus disease of 2019 (COVID-19) through a pandemic modeling example in Japan. MAS can flexibly express macroscopic phenomena formed through the...

Descripción completa

Detalles Bibliográficos
Autores principales: Fujita, Satoki, Kiguchi, Ryo, Yoshida, Yuki, Kitanishi, Yoshitake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195403/
https://www.ncbi.nlm.nih.gov/pubmed/35729993
http://dx.doi.org/10.1007/s42081-022-00163-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195403/
https://www.ncbi.nlm.nih.gov/pubmed/35729993
http://dx.doi.org/10.1007/s42081-022-00163-1

Ejemplares similares