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

Tomizawa, Nobuo; Kumamaru, Kanako K; Okamoto, Koh; Aoki, Shigeki

Tomizawa, Nobuo; Kumamaru, Kanako K; Okamoto, Koh; Aoki, Shigeki.

Afiliación

Tomizawa N; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kumamaru KK; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Okamoto K; Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan.
Aoki S; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Heliyon ; 7(8): e07859, 2021 Aug.

Article en En | MEDLINE | ID: mdl-34485738

Palabras clave

Disease transmission; Influenza; Multi-agent system; SIR model

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Año: 2021 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google