Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models
This paper is dedicated to the application of two types of SEIR models to the influenza outbreak peak prediction in Russian cities. The first one is a continuous SEIR model described by a system of ordinary differential equations. The second one is a discrete model formulated as a set of difference...
Saved in:
Main Authors: | Vasiliy N. Leonenko, Sergey V. Ivanov |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2018-01-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2018009 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Joint quantification of transmission dynamics and diagnostic accuracy applied to influenza
by: Hiroshi Nishiura
Published: (2010-12-01) -
SEROLOGICAL MONITORING FOR AVIAN INFLUENZA IN THE RUSSIAN FEDERATION IN 2017–2018
by: M. A. Volkova, et al.
Published: (2019-06-01) -
Modeling the impact of twitter on influenza epidemics
by: Kasia A. Pawelek, et al.
Published: (2014-08-01) -
Increased Risk of Influenza-Like Illness Clusters in Schools, Taiwan from 2011 to 2020: A Retrospective Study
by: Yu-Ching Chou, et al.
Published: (2025-02-01) -
SEIR epidemiological model with varying infectivity and infinite delay
by: Gergely Röst, et al.
Published: (2008-02-01)