Open AccessWas school closure effective in mitigating coronavirus disease 2019 (COVID-19)? Time series analysis using Bayesian inference
Author(s) -
Kentaro Iwata,
Asako Doi,
Chisato Miyakoshi
Publication year - 2020
Publication title -
international journal of infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 89
eISSN - 1878-3511
pISSN - 1201-9712
DOI - 10.1016/j.ijid.2020.07.052
Subject(s) - covid-19 , closure (psychology) , bayesian probability , coronavirus , inference , series (stratigraphy) , bayesian inference , pandemic , time series , computer science , medicine , virology , mathematics , statistics , disease , artificial intelligence , infectious disease (medical specialty) , biology , outbreak , economics , paleontology , market economy
The Coronavirus disease 2019 (COVID-19) pandemic is causing significant damage to many nations. For mitigating its risk, Japan called on all elementary, junior high, and high schools nationwide to close beginning March 1, 2020. However, its effectiveness in decreasing the disease burden has not been investigated.
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