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...
Main Authors: | Nobuo Tomizawa, Kanako K. Kumamaru, Koh Okamoto, Shigeki Aoki |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-08-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844021019629 |
Similar Items
-
Identifying Meteorological Drivers for the Seasonal Variations of Influenza Infections in a Subtropical City — Hong Kong
by: Ka Chun Chong, et al.
Published: (2015-01-01) -
Etiology of influenza-like illnesses in the population of Novosibirsk city in the 2018–2019 epidemic season
by: O. G. Kurskaya, et al.
Published: (2021-09-01) -
Severity of the 2019 influenza season in Australia- a comparison between 2017 and 2019 H3N2 influenza seasons
by: Aye Moa, et al.
Published: (2019-11-01) -
Molecular Characterization of Seasonal Influenza A and B from Hospitalized Patients in Thailand in 2018–2019
by: Kobporn Boonnak, et al.
Published: (2021-05-01) -
Clinical and laboratory characteristics of influenza infection in hospitalized adult patients during the 2018-2019 epidemic season
by: L. V. Voloshchuk, et al.
Published: (2021-02-01)