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JDR Vol.17 No.1 pp. 113-122
(2022)
doi: 10.20965/jdr.2022.p0113

Paper:

Developing an Assessment Framework of the Recovery Calendar for COVID-19 Calamity: Based on the Data from the June 2021 Survey

Shoji Ohtomo*,† and Reo Kimura**

*College of Interhuman Symbiotic Studies, Kanto Gakuin University
1-50-1 Mutsuura-higashi, Kanazawa-ku, Yokohama, Kanagawa 236-8503, Japan

Corresponding author

**School of Human and Environment, University of Hyogo, Hyogo, Japan

Received:
October 3, 2021
Accepted:
December 6, 2021
Published:
January 30, 2022
Keywords:
CBRNE, COVID-19, pandemic, recovery calendar, social demographics
Abstract

The COVID-19 pandemic continues to pose a global threat. It is considered a CBRNE (chemical, biological, radiological, nuclear, explosive) disaster that has caused not only a public health crisis but also psychological, social, and economic problems. The recovery of social and economic activities remains an urgent issue. This study developed an assessment framework of the “recovery calendar” to visualize the process of people’s recognition of recovery from the COVID-19 calamity. Data on this recovery calendar were collected from an online questionnaire survey administered on a total of 449 respondents from 10 groups divided by gender (male or female) and age (20s, 30s, 40s, 50s, 60s, and above). The results showed that the recovery process took place in the following order: recognition of COVID-19’s impact on society and of the imposition of a constrained lifestyle, recognition of returning to work or the resumption of local schools, and finally, recognition of the recovery of the household and local economies, although these remained at a low level of activity. Importantly, the recovery progressed slowly. The results also indicated that measures such as the declaration or lifting of the state of emergency, or the “Go To” travel campaign, affected people’s recognition of recovery. Moreover, the recognition of recovery depended on social demographics. Men, younger people, and those with a stable life base were more likely to perceive recovery from the disaster. This study discussed the applicability of the assessment framework of the recovery calendar to visualize people’s recovery process from the COVID-19 calamity.

Cite this article as:
S. Ohtomo and R. Kimura, “Developing an Assessment Framework of the Recovery Calendar for COVID-19 Calamity: Based on the Data from the June 2021 Survey,” J. Disaster Res., Vol.17 No.1, pp. 113-122, 2022.
Data files:
References
  1. [1] World Health Organization (WHO), “WHO Coronavirus (COVID-19) Dashboard,” 2021, https://covid19.who.int/ [accessed September 29, 2021]
  2. [2] BBC, “Covid-19 rules: How six countries fared after easing Covid rules,” July 15, 2021, https://www.bbc.com/news/world-57796133 [accessed September 9, 2021]
  3. [3] Japan Times, “Tokyo enters fourth COVID-19 state of emergency as Olympics loom,” July 12, 2021, https://www.japantimes.co.jp/news/2021/07/12/national/fourth-coronavirus-emergency-tokyo/ [accessed September 9, 2021]
  4. [4] WHO, “WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020,” March 11, 2021, https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—11-march-2020 [accessed September 30, 2021]
  5. [5] R. Kimura, M. Inoguchi, K. Tamura, and H. Hayashi, “Comparison Between the Life Recovery Processes After the Mid-Niigata Earthquake and the Chuetsu-Oki Earthquake – Results of a Random Sampled Social Survey Using the Life Recovery Calendar and GIS-Based Spatiotemporal Analysis,” J. Disaster Res., Vol.10, No.2, pp. 196-203, doi: 10.20965/jdr.2015.p0196, 2015.
  6. [6] S. Oishi, R. Kimura, H. Hayashi, S. Tatsuki, K. Tamura, K. Ishii, and J. Tucker, “Psychological adaptation to the Great Hanshin-Awaji Earthquake of 1995: 16 years later victims still report lower levels of subjective well-being,” J. of Research in Personality, Vol.55, pp. 84-90, 2015.
  7. [7] R. Kimura, “Recovery and reconstruction calendar,” J. Disaster Res., Vol.2, No.6, pp. 465-474, doi: 10.20965/jdr.2007.p0465, 2007.
  8. [8] R. Kimura, H. Hayashi, S. Tatsuki, and K. Tamura, “Psychologically Defined Life Reconstruction Processes of Disaster Victims in the 1995 Hanshin-Awaji Earthquake,” J. of Social Safety Science, Vol.6, pp. 241-250, 2004 (in Japanese with English abstract).
  9. [9] R. Kimura, S. Ohtomo, and N. Hirata, “A Study on the 2016 Kumamoto Earthquake: Citizen’s Evaluation of Earthquake Information and Their Evacuation and Sheltering Behaviors,” J. Disaster Res., Vol.12, No.6, pp. 1117-1138, doi: 10.20965/jdr.2017.p1117, 2017.
  10. [10] R. Kimura and S. Ohtomo, “Life Reconstruction Processes of Flood Disaster Victims in Semimountainous Area – A Case Study of Kii Peninsula Flood Disaster (the Typhoon No.12 in 2011) in Japan,” J. of Social Safety Science, Vol.21, pp. 137-147, 2013 (in Japanese with English abstract).
  11. [11] R. Kimura, K. Tomoyasu, Y. Yajima, H. Mashima, K. Furukawa, Y. Toda, K. Watanabe, and T. Kawahara, “Current Status and Issues of Life Recovery Process Three Years After the Great East Japan Earthquake Questionnaire Based on Subjective Estimate of Victims Using Life Recovery Calendar Method,” J. Disaster Res., Vol.9, No.7, pp. 673-689, doi: 10.20965/jdr.2014.p0673, 2014.
  12. [12] R. Kimura, “Psychology of Disaster, Disaster Prevention,” Hokuju, 2015 (in Japanese).
  13. [13] NHK, “Special site for COVID-19,” 2021, https://www3.nhk.or.jp/news/special/coronavirus/chronology/?mode=all&target=202001 (in Japanese) [accessed September 30, 2021]
  14. [14] M. I. Marshall and H. L. Schrank, “Small business disaster recovery: a research framework,” Natural Hazards, Vol.72, No.2, pp. 597-616, 2014.
  15. [15] Y. Wang, Z. Zou, and J. Li, “Influencing factors of households disadvantaged in post-earthquake life recovery: a case study of the Wenchuan earthquake in China,” Natural Hazards, Vol.75, No.2, pp. 1853-1869, 2015.
  16. [16] P. Slovic, “Trust, emotion, sex, politics, and science: Surveying the risk-assessment battlefield,” Risk Analysis, Vol.19, No.4, pp. 689-701, 1999.
  17. [17] S. Ohtomo and R. Kimura, “The Influence of Residents’ Resilience on the Recovery in the Torrential Rain in Western Japan in 2018,” Risk Analysis, Vol.41, No.10, pp. 1860-1872, doi: 10.1111/risa.13686, 2021.
  18. [18] J. T. F. Lau, S. Griffiths, K.-C. Choi, and C. Lin, “Prevalence of preventive behaviors and associated factors during early phase of the H1N1 influenza epidemic,” American J. of Infection Control, Vol.38, No.5, pp. 374-380, 2010.
  19. [19] D. Aschwanden, J. E. Strickhouser, A. A. Sesker, J. H. Lee, M. Luchetti, A. Terracciano, and A. R. Sutin, “Preventive Behaviors During the COVID-19 Pandemic: Associations With Perceived Behavioral Control, Attitudes, and Subjective Norm,” Frontiers in Public Health, Vol.9, pp. 662835-662835, 2021.
  20. [20] L. Savadori and M. Lauriola, “Risk Perception and Protective Behaviors During the Rise of the COVID-19 Outbreak in Italy,” Frontiers in Psychology, Vol.11, doi: 10.3389/fpsyg.2020.577331, 2021.
  21. [21] X. Y. Lim, A. C. Yap, R. Mahendran, and J. Yu, “The interplay between anxiety, fear, protective behaviors, compassion, and resilience among older adults during a COVID-19 lockdown: a structural equation modeling study,” Translational Behavioral Medicine, Vol.11, No.5, pp. 1172-1178, 2021.
  22. [22] M. Yıldırım and G. Arslan, “Exploring the associations between resilience, dispositional hope, preventive behaviours, subjective well-being, and psychological health among adults during early stage of COVID-19,” Current Psychology, doi: 10.1007/s12144-020-01177-2, 2020.
  23. [23] J. Ayre, E. Cvejic, K. McCaffery, T. Copp, S. Cornell, R. H. Dodd, K. Pickles, C. Batcup, J. M. J. Isautier, B. Nickel, T. Dakin, and C. Bonner, “Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample,” PLOS ONE, Vol.16, No.6, doi: 10.1371/journal.pone.0253930, 2021.
  24. [24] Ministry of Health, Labour and Welfare, “Open data,” 2021, https://www.mhlw.go.jp/stf/covid-19/open-data.html (in Japanese) [accessed September 9, 2021]
  25. [25] R Core Team, “R: A Language and Environment for Statistical Computing,” R Foundation for Statistical Computing, 2016.

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Last updated on Oct. 11, 2024