Literature DB >> 35153271

An interpretation of COVID-19 in Tokyo using a combination of SIR models.

Koichiro Maki1.   

Abstract

A year and a half has passed since the outbreak of the COVID-19 pandemic. Mathematical models to predict infection are expected and many studies have been conducted. In this study, a new interpretation was created that could reproduce the daily positive cases in Tokyo using only a simple SIR model. In addition, the data on the ratio of transfer to delta variants could also be simulated. It is anticipated that this interpretation will be a basis for the development of forecasting methods.

Entities:  

Keywords:  COVID-19; SIR model; basic community; complete mixing

Mesh:

Year:  2022        PMID: 35153271      PMCID: PMC8890995          DOI: 10.2183/pjab.98.006

Source DB:  PubMed          Journal:  Proc Jpn Acad Ser B Phys Biol Sci        ISSN: 0386-2208            Impact factor:   3.493


  12 in total

Review 1.  Mathematical models to characterize early epidemic growth: A review.

Authors:  Gerardo Chowell; Lisa Sattenspiel; Shweta Bansal; Cécile Viboud
Journal:  Phys Life Rev       Date:  2016-07-11       Impact factor: 11.025

2.  A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model.

Authors:  José M Carcione; Juan E Santos; Claudio Bagaini; Jing Ba
Journal:  Front Public Health       Date:  2020-05-28

3.  Estimation of COVID-19 dynamics "on a back-of-envelope": Does the simplest SIR model provide quantitative parameters and predictions?

Authors:  Eugene B Postnikov
Journal:  Chaos Solitons Fractals       Date:  2020-05-01       Impact factor: 5.944

4.  Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems.

Authors:  Eugene B Postnikov
Journal:  PeerJ       Date:  2021-01-07       Impact factor: 2.984

5.  Inefficiency of SIR models in forecasting COVID-19 epidemic: a case study of Isfahan.

Authors:  Shiva Moein; Niloofar Nickaeen; Amir Roointan; Niloofar Borhani; Zarifeh Heidary; Shaghayegh Haghjooy Javanmard; Jafar Ghaisari; Yousof Gheisari
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

6.  Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy.

Authors:  Giulia Giordano; Franco Blanchini; Raffaele Bruno; Patrizio Colaneri; Alessandro Di Filippo; Angela Di Matteo; Marta Colaneri
Journal:  Nat Med       Date:  2020-04-22       Impact factor: 87.241

7.  Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China.

Authors:  Benjamin F Maier; Dirk Brockmann
Journal:  Science       Date:  2020-04-08       Impact factor: 47.728

8.  A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.

Authors:  Qianying Lin; Shi Zhao; Daozhou Gao; Yijun Lou; Shu Yang; Salihu S Musa; Maggie H Wang; Yongli Cai; Weiming Wang; Lin Yang; Daihai He
Journal:  Int J Infect Dis       Date:  2020-03-04       Impact factor: 3.623

Review 9.  World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19).

Authors:  Catrin Sohrabi; Zaid Alsafi; Niamh O'Neill; Mehdi Khan; Ahmed Kerwan; Ahmed Al-Jabir; Christos Iosifidis; Riaz Agha
Journal:  Int J Surg       Date:  2020-02-26       Impact factor: 6.071

View more
  1 in total

1.  An HLD Model for Tomato Bacterial Canker Focusing on Epidemics of the Pathogen Due to Cutting by Infected Scissors.

Authors:  Akira Kawaguchi; Shoya Kitabayashi; Koji Inoue; Koji Tanina
Journal:  Plants (Basel)       Date:  2022-08-30
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.