A problem of self-isolation in Japan: The relationship between self-isolation and COVID-19 community case
- PMID: 36276422
- PMCID: PMC9508386
- DOI: 10.34172/hpp.2022.24
A problem of self-isolation in Japan: The relationship between self-isolation and COVID-19 community case
Abstract
Background: The Japanese government advised mild or asymptomatic coronavirus disease-2019 (COVID-19) cases to self-isolate at home, while more severe individuals were treated at health posts. Poor compliance with self-isolation could be a potential reason for the new outbreak. Our study aimed to find out the correlation between the rising new cases of COVID-19 and home-based patients in Japan. Methods: A secondary data analysis study was conducted with the data from COVID-19- involved databases collected from Johns Hopkins University, Japanese Ministry of Health, Labour and Welfare, and Community Mobility Reports of Google. New community cases, stringency index, number of tests, and active cases were analyzed. Using a linear regression model, an independent variable was utilized for a given date to predict the future number of community cases. Results: Research results show that outpatient cases, the stringency, and Google Mobility Trend were all significantly associated with the number of COVID-19 community cases from the sixth day to the ninth day. The model predicting community cases on the eighth day (R2=0.8906) was the most appropriate showing outpatients, residential index, grocery and pharmacy index, retail and recreation index, and workplaces index were positively related (β1=24.2, 95% CI: 20.3- 26.3, P<0.0001; β2=277.7, 95% CI: 171.8-408.2, P<0.0001; β3=112.4, 95% CI: 79.8-158.3, P<0.0001; β4=73.1, 95% CI: 53- 04.4, P<0.0001; β5=57.2, 95% CI: 25.2-96.8, P=0.001, respectively). In contrast, inpatients, park index, and adjusted stringency index were negatively related to the number of community cases (β6=-2.8, 95% CI: -3.9 - -1.6, P<0.0001; β7=-33, 95% CI: -43.6 - -27, P<0.0001; β8=-14.4, 95% CI: -20.1- -12, P<0.0001, respectively). Conclusion: Outpatient cases and indexes of Community Mobility Reports were associated with COVID-19 community cases.
Keywords: COVID-19; Health policy; Japan; Outpatients; Social isolation.
© 2022 The Author(s).
Figures
Similar articles
-
Lockdown for COVID-19 and its impact on community mobility in India: An analysis of the COVID-19 Community Mobility Reports, 2020.Child Youth Serv Rev. 2020 Sep;116:105160. doi: 10.1016/j.childyouth.2020.105160. Epub 2020 Jun 12. Child Youth Serv Rev. 2020. PMID: 32834269 Free PMC article.
-
Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland, Turkey and South Korea.Health Policy Plan. 2022 Jan 13;37(1):100-111. doi: 10.1093/heapol/czab096. Health Policy Plan. 2022. PMID: 34365501 Free PMC article.
-
The effect of social movements on COVID-19 case increases and death in Turkey.Clin Epidemiol Glob Health. 2023 Mar-Apr;20:101260. doi: 10.1016/j.cegh.2023.101260. Epub 2023 Feb 28. Clin Epidemiol Glob Health. 2023. PMID: 36873242 Free PMC article.
-
Population Mobility, Lockdowns, and COVID-19 Control: An Analysis Based on Google Location Data and Doubling Time from India.Healthc Inform Res. 2021 Oct;27(4):325-334. doi: 10.4258/hir.2021.27.4.325. Epub 2021 Oct 31. Healthc Inform Res. 2021. PMID: 34788913 Free PMC article.
-
Epidemiological Factors Associated with COVID-19 Clusters in Medical and Social Welfare Facilities.Jpn J Infect Dis. 2022 May 24;75(3):281-287. doi: 10.7883/yoken.JJID.2021.288. Epub 2021 Oct 29. Jpn J Infect Dis. 2022. PMID: 34719529 Review.
References
-
- WHO. SARS-CoV-2 Variants. Available from: https://www.who.int/csr/don/31-december-2020-sars-cov2-variants/en/. Accessed May 2, 2021.
-
- WHO. Draft landscape and tracker of COVID-19 candidate vaccines. Available from: https://www.who.int/publications/m/item/draft-landscape-of-covid-19-cand.... Accessed May 2, 2021.
LinkOut - more resources
Full Text Sources