日本的自我隔离问题:自我隔离与新冠肺炎社区病例的关系

IF 2.4 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Health Promotion Perspectives Pub Date : 2022-08-20 eCollection Date: 2022-01-01 DOI:10.34172/hpp.2022.24
Nam Xuan Ha, Truong Le-Van, Nguyen Hai Nam, Akshay Raut, Joseph Varney, Nguyen Tien Huy
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引用次数: 0

摘要

背景:日本政府建议轻度或无症状的新冠肺炎(COVID-19)患者在家中进行自我隔离,重症患者在卫生站接受治疗。不遵守自我隔离可能是新疫情爆发的一个潜在原因。我们的研究旨在找出日本新冠肺炎病例上升与家庭患者之间的相关性。方法:采用约翰霍普金斯大学、日本厚生劳动省和谷歌社区流动报告中COVID-19相关数据库的数据进行二次数据分析研究。分析社区新增病例数、严密性指数、检测次数和活跃病例数。采用线性回归模型,利用给定日期的自变量预测未来社区病例数。结果:研究结果显示,第6天至第9天,门诊病例数、严格程度、谷歌移动趋势与社区COVID-19病例数均显著相关。预测第8天社区病例的模型(R2=0.8906)最合适,显示门诊人数与住宅指数、杂货店和药房指数、零售和娱乐指数、工作场所指数呈正相关(β1=24.2, 95% CI: 20.3 ~ 26.3, P2=277.7, 95% CI: 171.8 ~ 408.2, P3=112.4, 95% CI: 79.8 ~ 158.3, P4=73.1, 95% CI: 53 ~ 04.4, P5=57.2, 95% CI: 25.2 ~ 96.8, P=0.001)。住院人数、公园指数和调整后的严格程度指数与社区病例数呈负相关(β6=-2.8, 95% CI: -3.9 ~ -1.6, P7=-33, 95% CI: -43.6 ~ -27, P8=-14.4, 95% CI: -20.1 ~ -12, p)。结论:门诊病例和社区流动报告指标与COVID-19社区病例数相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A problem of self-isolation in Japan: The relationship between self-isolation and COVID-19 community case.

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.

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来源期刊
Health Promotion Perspectives
Health Promotion Perspectives PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.10
自引率
2.30%
发文量
27
审稿时长
13 weeks
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