Correlation between the Level of Social Distancing and Activity of Influenza Epidemic or COVID-19 Pandemic: A Subway Use-Based Assessment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seong, Hye | - |
dc.contributor.author | Hong, Jin-Wook | - |
dc.contributor.author | Hyun, Hak-Jun | - |
dc.contributor.author | Yoon, Jin-Gu | - |
dc.contributor.author | Noh, Ji-Yun | - |
dc.contributor.author | Cheong, Hee-Jin | - |
dc.contributor.author | Kim, Woo-Joo | - |
dc.contributor.author | Jung, Jae-Hun | - |
dc.contributor.author | Song, Joon-Young | - |
dc.date.accessioned | 2022-02-26T08:41:23Z | - |
dc.date.available | 2022-02-26T08:41:23Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2021-08 | - |
dc.identifier.issn | 2077-0383 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136994 | - |
dc.description.abstract | Social distancing is an effective measure to mitigate the spread of novel viral infections in the absence of antiviral agents and insufficient vaccine supplies. Subway utilization density may reflect social activity and the degree of social distancing in the general population.; This study aimed to evaluate the correlations between subway use density and the activity of the influenza epidemic or coronavirus disease 2019 (COVID-19) pandemic using a time-series regression method. The subway use-based social distancing score (S-SDS) was calculated using the weekly ridership of 11 major subway stations. The temporal association of S-SDS with influenza-like illness (ILI) rates or the COVID-19 pandemic activity was analyzed using structural vector autoregressive modeling and the Granger causality (GC) test. During three influenza seasons (2017-2020), the time-series regression presented a significant causality from S-SDS to ILI (p = 0.0484). During the COVID-19 pandemic in January 2020, S-SDS had been suppressed at a level similar to or below the average of the previous four years. In contrast to the ILI rate, there was a negative correlation between COVID-19 activity and S-SDS. GC analysis revealed a negative causal relationship between COVID-19 and S-SDS (p = 0.0098).; S-SDS showed a significant time-series association with the ILI rate but not with COVID-19 activity. When public transportation use is sufficiently suppressed, additional social mobility restrictions are unlikely to significantly affect COVID-19 pandemic activity. It would be more important to strengthen universal mask-wearing and detailed public health measures focused on risk activities, particularly in enclosed spaces. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | SEROPREVALENCE | - |
dc.title | Correlation between the Level of Social Distancing and Activity of Influenza Epidemic or COVID-19 Pandemic: A Subway Use-Based Assessment | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Seong, Hye | - |
dc.identifier.doi | 10.3390/jcm10153369 | - |
dc.identifier.scopusid | 2-s2.0-85114065508 | - |
dc.identifier.wosid | 000682079700001 | - |
dc.identifier.bibliographicCitation | JOURNAL OF CLINICAL MEDICINE, v.10, no.15 | - |
dc.relation.isPartOf | JOURNAL OF CLINICAL MEDICINE | - |
dc.citation.title | JOURNAL OF CLINICAL MEDICINE | - |
dc.citation.volume | 10 | - |
dc.citation.number | 15 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | General & Internal Medicine | - |
dc.relation.journalWebOfScienceCategory | Medicine, General & Internal | - |
dc.subject.keywordPlus | SEROPREVALENCE | - |
dc.subject.keywordAuthor | COVID-19 | - |
dc.subject.keywordAuthor | public health | - |
dc.subject.keywordAuthor | severe acute respiratory syndrome coronavirus 2 | - |
dc.subject.keywordAuthor | social distancing | - |
dc.subject.keywordAuthor | subway | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.