Jishuku as a Japanese Way for Anti-COVID-19: Some Basic Reflections
Abstract: It is very important and interesting that the Japanese government did not mandate an anti-COVID-19 lockdown from 2020 to now. The main measure against COVID-19 before the vaccination and treatment pill was the people's isolation from coronavirus by Jishuku in Japanese. What is Jishuku? To complete isolation from coronavirus, the Japanese government asked the ordinary people to stay at home by self-restriction. This Japanese way seems to have been very successful during the first wave of COVID-19, with the number of infections and deaths by COVID-19 being more moderate than many other countries, including Germany. Why did the ordinary people stay at home under the government policy? The main motive of Jishuku was Docho Atsuryoku in Japanese, which sometimes translates to "peer pressure" in English, but it is not good translation. "A disciplined pressure by collectivism" is better, as it helps to understand Japanese behavior against COVID-19 during the first wave of 2020. As in many
- Weitere Titel
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Jishuku als japanische Maßnahme gegen COVID-19: einige grundlegende Überlegungen
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Jishuku as a Japanese Way for Anti-COVID-19: Some Basic Reflections ; number:33 ; year:2021 ; pages:284-301
Veröffentlichungsversion
begutachtet (peer reviewed)
Historical social research / Supplement. Supplement ; Heft 33 (2021), 284-301
- Klassifikation
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Sozialwissenschaften, Soziologie, Anthropologie
- Ereignis
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Veröffentlichung
- (wo)
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Mannheim
- (wer)
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SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
- (wann)
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2021
- Urheber
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Iijima, Wataru
- DOI
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10.12759/hsr.suppl.33.2021.284-301
- URN
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urn:nbn:de:101:1-2022101517195203439463
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:26 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Iijima, Wataru
- SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
Entstanden
- 2021