Typology and Characteristics of COVID-19 Preventive Measures Implementation
Motoko Kosugi ()
Additional contact information
Motoko Kosugi: College of Engineering, Academic Institute, Shizuoka University, Hamamatsu 432-8561, Japan
IJERPH, 2022, vol. 19, issue 19, 1-12
Abstract:
More than a year and a half has passed since the novel coronavirus (COVID-19) pandemic began, but according to the World Health Organization (WHO), the end is still a long way off. People must incorporate infection prevention behaviors into their daily lives, and the question for the future will not be whether or not to take countermeasures but how thoroughly to do so. In this study, I conducted an online survey of 1200 Japanese adults and identified four patterns of implementation of preventive measures. Those who took the most preventive measures were highly alert to the risk of COVID-19 and had strong anxiety about infection. They also positively evaluated risk management by medical institutions and the government, and they had positive feelings in their daily lives. On the other hand, those who took minimal measures, mainly mask wearing and handwashing, and those who took less than minimal measures did not feel much risk or anxiety about COVID-19. However, they evaluated the responses of the government and medical institutions less highly and reported having more negative feelings in their daily lives.
Keywords: COVID-19; preventive measures; risk perception; affect; questionnaire survey (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/19/12194/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/19/12194/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:19:p:12194-:d:925560
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().