Literature DB >> 33479359

Self-organized wavy infection curve of COVID-19.

Takashi Odagaki1,2.   

Abstract

Exploiting the SIQR model for COVID-19, I show that the wavy infection curve in Japan is the result of fluctuation of policy on isolation measure imposed by the government and obeyed by citizens. Assuming the infection coefficient be a two-valued function of the number of daily confirmed new cases, I show that when the removal rate of infected individuals is between these two values, the wavy infection curve is self-organized. On the basis of the infection curve, I classify the outbreak of COVID-19 into five types and show that these differences can be related to the relative magnitude of the transmission coefficient and the quarantine rate of infected individuals.

Entities:  

Mesh:

Year:  2021        PMID: 33479359      PMCID: PMC7820234          DOI: 10.1038/s41598-021-81521-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  8 in total

1.  Effects of quarantine in six endemic models for infectious diseases.

Authors:  Herbert Hethcote; Ma Zhien; Liao Shengbing
Journal:  Math Biosci       Date:  2002 Nov-Dec       Impact factor: 2.144

2.  Temporal dynamics in viral shedding and transmissibility of COVID-19.

Authors:  Xi He; Eric H Y Lau; Peng Wu; Xilong Deng; Jian Wang; Xinxin Hao; Yiu Chung Lau; Jessica Y Wong; Yujuan Guan; Xinghua Tan; Xiaoneng Mo; Yanqing Chen; Baolin Liao; Weilie Chen; Fengyu Hu; Qing Zhang; Mingqiu Zhong; Yanrong Wu; Lingzhai Zhao; Fuchun Zhang; Benjamin J Cowling; Fang Li; Gabriel M Leung
Journal:  Nat Med       Date:  2020-04-15       Impact factor: 53.440

3.  COVID-19 spreading in Rio de Janeiro, Brazil: Do the policies of social isolation really work?

Authors:  Nuno Crokidakis
Journal:  Chaos Solitons Fractals       Date:  2020-05-23       Impact factor: 5.944

4.  Modeling quarantine during epidemics and mass-testing using drones.

Authors:  Leonid Sedov; Alexander Krasnochub; Valentin Polishchuk
Journal:  PLoS One       Date:  2020-06-24       Impact factor: 3.240

5.  Exact properties of SIQR model for COVID-19.

Authors:  Takashi Odagaki
Journal:  Physica A       Date:  2020-11-21       Impact factor: 3.263

6.  Emergence of oscillations in a simple epidemic model with demographic data.

Authors:  Meredith Greer; Raj Saha; Alex Gogliettino; Chialin Yu; Kyle Zollo-Venecek
Journal:  R Soc Open Sci       Date:  2020-01-29       Impact factor: 2.963

7.  Analysis of the outbreak of COVID-19 in Japan by SIQR model.

Authors:  Takashi Odagaki
Journal:  Infect Dis Model       Date:  2020-09-11

8.  Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20-28 January 2020.

Authors:  Jantien A Backer; Don Klinkenberg; Jacco Wallinga
Journal:  Euro Surveill       Date:  2020-02
  8 in total

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