Literature DB >> 33347444

Effects of voluntary event cancellation and school closure as countermeasures against COVID-19 outbreak in Japan.

Yoshiyuki Sugishita1, Junko Kurita2, Tamie Sugawara1, Yasushi Ohkusa2.   

Abstract

BACKGROUND: To control the COVID-19 outbreak in Japan, sports and entertainment events were canceled and schools were closed throughout Japan from February 26 through March 19. That policy has been designated as voluntary event cancellation and school closure (VECSC). OBJECT: This study assesses VECSC effectiveness based on predicted outcomes.
METHODS: A simple susceptible-infected-recovered model was applied to data of patients with symptoms in Japan during January 14 through March 26. The respective reproduction numbers for periods before VECSC (R0), during VECSC (Re), and after VECSC (Ra) were estimated.
RESULTS: Results suggest R0 before VECSC as 2.534 [2.449, 2.598], Re during VECSC as 1.077 [0.948, 1.228], and Ra after VECSC as 4.455 [3.615, 5.255]. DISCUSSION AND
CONCLUSION: Results demonstrated that VECSC can reduce COVID-19 infectiousness considerably, but after VECSC, the value of the reproduction number rose to exceed 4.0.

Entities:  

Year:  2020        PMID: 33347444     DOI: 10.1371/journal.pone.0239455

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  3 in total

1.  COVID-19 in Japan, January-March 2020: insights from the first three months of the epidemic.

Authors:  Natsuko Imai; Katy A M Gaythorpe; Sangeeta Bhatia; Tara D Mangal; Gina Cuomo-Dannenburg; H Juliette T Unwin; Elita Jauneikaite; Neil M Ferguson
Journal:  BMC Infect Dis       Date:  2022-05-25       Impact factor: 3.667

Review 2.  A review on COVID-19 transmission, epidemiological features, prevention and vaccination.

Authors:  Yuqin Zhang; Gonghua Wu; Shirui Chen; Xu Ju; Wumitijiang Yimaer; Wangjian Zhang; Shao Lin; Yuantao Hao; Jing Gu; Jinghua Li
Journal:  Med Rev (Berl)       Date:  2022-03-02

3.  Associations between components of household expenditures and the rate of change in the number of new confirmed cases of COVID-19 in Japan: Time-series analysis.

Authors:  Hajime Tomura
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.240

  3 in total

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