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

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

Published:2021-08 Issue:8 Volume:7 Page:e07859
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Tomizawa Nobuo^ORCID,Kumamaru Kanako K.,Okamoto Koh,Aoki Shigeki

Funder

Ministry of Health, Labour and Welfare

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference35 articles.

1. Evaluating the impact of the weather conditions on the influenza propagation;Singh;BMC Infect. Dis.,2020

2. Prediction of influenza peaks in Russian cities: comparing the accuracy of two SEIR models;Ivanov;Math. Biosci. Eng.,2017

3. Comparison of methods to estimate basic reproduction number (R 0) of influenza, using Canada 2009 and 2017-18 A (H1N1) data;Nikbakht;J. Res. Med. Sci.,2019

4. Estimation for the size of fragile population in the trunsored and truncated models with application to the confidence interval for the case fatality ratio of SARS;Hirose;Int Inf Inst,2009

5. A contribution to the mathematical theory of epidemics;Kermack;Proc. Roy. Soc. Lond.,1927

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