Impact of a Single-Day Lockdown on COVID-19: An Interrupted Time Series Analysis

Impact of a Single-Day Lockdown on COVID-19: An Interrupted Time Series Analysis

This study evaluated a special form of lockdown that was applied in Jordan: one day of lockdown every week, which was applied on consecutive weekend days (i.e., Friday in Jordan, for 24 hours). We tried to assess the impact of this form of lockdown on the daily number of positive coronavirus disease...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Curēus (Palo Alto, CA) CA), 2021-08, Vol.13 (8), p.e17299
Hauptverfasser: AlRyalat, Saif Aldeen, Elubous, Khaled A, Al-Ebous, Ali D, Mahafzah, Azmi
Format: Artikel
Sprache:eng
Schlagworte:
Infectious Disease
Public Health
Quality Improvement
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 8
container_start_page e17299
container_title Curēus (Palo Alto, CA)
container_volume 13
creator AlRyalat, Saif Aldeen
Elubous, Khaled A
Al-Ebous, Ali D
Mahafzah, Azmi
description This study evaluated a special form of lockdown that was applied in Jordan: one day of lockdown every week, which was applied on consecutive weekend days (i.e., Friday in Jordan, for 24 hours). We tried to assess the impact of this form of lockdown on the daily number of positive coronavirus disease 2019 (COVID-19) cases, using interrupted time series analysis. We included the period of March 5 to April 17, 2021, as the period affected by the Friday lockdown, which was applied to seven consecutive Fridays with a total of 168 hours. We used R version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria) for our analysis. We used Poisson model regression analysis, where the number of positive cases was used as the outcome variable, while the total number of tests, time, and lockdown were used as the predictor variables. We further performed quasi-Poisson regression analysis to confirm the first model. On Poisson model regression analysis, it was found that there was an evidence of an increase in the number of positive COVID-19 cases following the intervention of Friday lockdown, with a p value of
doi_str_mv 10.7759/cureus.17299
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8449516</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2575831187</sourcerecordid><originalsourceid>FETCH-LOGICAL-c314t-1fdea26ca274e50122067a482b32f7e6a96d1e083216b7c3fbc6f71775c0f1523</originalsourceid><addsrcrecordid>eNpVkc1PwkAQxTdGIwS5eTZ79GBxP9ru1oMJAT9ISDABvW6W7RSrbRd3Ww3_vVWQ4GkmmV_ezJuH0DklAyGi5No0Dho_oIIlyRHqMhrLQFIZHh_0HdT3_o0QQolgRJBT1OFhFDHJwy56mpRrbWpsM6zxPK9WBQRjvcFTa95T-1VhW-HR7GUyDmhyg4cVnlQ1ONesa0jxIi8Bz8Hl4NuRLjY-92foJNOFh_6u9tDz_d1i9BhMZw-T0XAaGE7DOqBZCprFRjMRQkQoYyQWOpRsyVkmINZJnFIgkrc2lsLwbGniTNDWtCEZjRjvodut7rpZlpAaqGqnC7V2eandRlmdq_-TKn9VK_upZBgmEY1bgcudgLMfDfhalbk3UBS6Att4xSIRSU6pFC16tUWNs947yPZrKFE_OahtDuo3hxa_ODxtD_99nX8DfVyDcw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2575831187</pqid></control><display><type>article</type><title>Impact of a Single-Day Lockdown on COVID-19: An Interrupted Time Series Analysis</title><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>AlRyalat, Saif Aldeen ; Elubous, Khaled A ; Al-Ebous, Ali D ; Mahafzah, Azmi</creator><creatorcontrib>AlRyalat, Saif Aldeen ; Elubous, Khaled A ; Al-Ebous, Ali D ; Mahafzah, Azmi</creatorcontrib><description>This study evaluated a special form of lockdown that was applied in Jordan: one day of lockdown every week, which was applied on consecutive weekend days (i.e., Friday in Jordan, for 24 hours). We tried to assess the impact of this form of lockdown on the daily number of positive coronavirus disease 2019 (COVID-19) cases, using interrupted time series analysis. We included the period of March 5 to April 17, 2021, as the period affected by the Friday lockdown, which was applied to seven consecutive Fridays with a total of 168 hours. We used R version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria) for our analysis. We used Poisson model regression analysis, where the number of positive cases was used as the outcome variable, while the total number of tests, time, and lockdown were used as the predictor variables. We further performed quasi-Poisson regression analysis to confirm the first model. On Poisson model regression analysis, it was found that there was an evidence of an increase in the number of positive COVID-19 cases following the intervention of Friday lockdown, with a p value of &lt;0.001 (relative risk, 1.569; 95% confidence interval, 1.549-1.590). On using quasi-Poisson regression, similar results were found with a wider confidence interval. We concluded that a single weekend day lockdown led to an increase in the number of daily cases of COVID-19. Therefore, we recommend authorities to adhere to evidence-based measures or to the WHO recommendations in the dealing with this pandemic.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.17299</identifier><identifier>PMID: 34552834</identifier><language>eng</language><publisher>United States: Cureus</publisher><subject>Infectious Disease ; Public Health ; Quality Improvement</subject><ispartof>Curēus (Palo Alto, CA), 2021-08, Vol.13 (8), p.e17299</ispartof><rights>Copyright © 2021, AlRyalat et al.</rights><rights>Copyright © 2021, AlRyalat et al. 2021 AlRyalat et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c314t-1fdea26ca274e50122067a482b32f7e6a96d1e083216b7c3fbc6f71775c0f1523</citedby><cites>FETCH-LOGICAL-c314t-1fdea26ca274e50122067a482b32f7e6a96d1e083216b7c3fbc6f71775c0f1523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449516/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449516/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34552834$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>AlRyalat, Saif Aldeen</creatorcontrib><creatorcontrib>Elubous, Khaled A</creatorcontrib><creatorcontrib>Al-Ebous, Ali D</creatorcontrib><creatorcontrib>Mahafzah, Azmi</creatorcontrib><title>Impact of a Single-Day Lockdown on COVID-19: An Interrupted Time Series Analysis</title><title>Curēus (Palo Alto, CA)</title><addtitle>Cureus</addtitle><description>This study evaluated a special form of lockdown that was applied in Jordan: one day of lockdown every week, which was applied on consecutive weekend days (i.e., Friday in Jordan, for 24 hours). We tried to assess the impact of this form of lockdown on the daily number of positive coronavirus disease 2019 (COVID-19) cases, using interrupted time series analysis. We included the period of March 5 to April 17, 2021, as the period affected by the Friday lockdown, which was applied to seven consecutive Fridays with a total of 168 hours. We used R version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria) for our analysis. We used Poisson model regression analysis, where the number of positive cases was used as the outcome variable, while the total number of tests, time, and lockdown were used as the predictor variables. We further performed quasi-Poisson regression analysis to confirm the first model. On Poisson model regression analysis, it was found that there was an evidence of an increase in the number of positive COVID-19 cases following the intervention of Friday lockdown, with a p value of &lt;0.001 (relative risk, 1.569; 95% confidence interval, 1.549-1.590). On using quasi-Poisson regression, similar results were found with a wider confidence interval. We concluded that a single weekend day lockdown led to an increase in the number of daily cases of COVID-19. Therefore, we recommend authorities to adhere to evidence-based measures or to the WHO recommendations in the dealing with this pandemic.</description><subject>Infectious Disease</subject><subject>Public Health</subject><subject>Quality Improvement</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpVkc1PwkAQxTdGIwS5eTZ79GBxP9ru1oMJAT9ISDABvW6W7RSrbRd3Ww3_vVWQ4GkmmV_ezJuH0DklAyGi5No0Dho_oIIlyRHqMhrLQFIZHh_0HdT3_o0QQolgRJBT1OFhFDHJwy56mpRrbWpsM6zxPK9WBQRjvcFTa95T-1VhW-HR7GUyDmhyg4cVnlQ1ONesa0jxIi8Bz8Hl4NuRLjY-92foJNOFh_6u9tDz_d1i9BhMZw-T0XAaGE7DOqBZCprFRjMRQkQoYyQWOpRsyVkmINZJnFIgkrc2lsLwbGniTNDWtCEZjRjvodut7rpZlpAaqGqnC7V2eandRlmdq_-TKn9VK_upZBgmEY1bgcudgLMfDfhalbk3UBS6Att4xSIRSU6pFC16tUWNs947yPZrKFE_OahtDuo3hxa_ODxtD_99nX8DfVyDcw</recordid><startdate>20210819</startdate><enddate>20210819</enddate><creator>AlRyalat, Saif Aldeen</creator><creator>Elubous, Khaled A</creator><creator>Al-Ebous, Ali D</creator><creator>Mahafzah, Azmi</creator><general>Cureus</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210819</creationdate><title>Impact of a Single-Day Lockdown on COVID-19: An Interrupted Time Series Analysis</title><author>AlRyalat, Saif Aldeen ; Elubous, Khaled A ; Al-Ebous, Ali D ; Mahafzah, Azmi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-1fdea26ca274e50122067a482b32f7e6a96d1e083216b7c3fbc6f71775c0f1523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Infectious Disease</topic><topic>Public Health</topic><topic>Quality Improvement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>AlRyalat, Saif Aldeen</creatorcontrib><creatorcontrib>Elubous, Khaled A</creatorcontrib><creatorcontrib>Al-Ebous, Ali D</creatorcontrib><creatorcontrib>Mahafzah, Azmi</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>AlRyalat, Saif Aldeen</au><au>Elubous, Khaled A</au><au>Al-Ebous, Ali D</au><au>Mahafzah, Azmi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of a Single-Day Lockdown on COVID-19: An Interrupted Time Series Analysis</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><addtitle>Cureus</addtitle><date>2021-08-19</date><risdate>2021</risdate><volume>13</volume><issue>8</issue><spage>e17299</spage><pages>e17299-</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>This study evaluated a special form of lockdown that was applied in Jordan: one day of lockdown every week, which was applied on consecutive weekend days (i.e., Friday in Jordan, for 24 hours). We tried to assess the impact of this form of lockdown on the daily number of positive coronavirus disease 2019 (COVID-19) cases, using interrupted time series analysis. We included the period of March 5 to April 17, 2021, as the period affected by the Friday lockdown, which was applied to seven consecutive Fridays with a total of 168 hours. We used R version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria) for our analysis. We used Poisson model regression analysis, where the number of positive cases was used as the outcome variable, while the total number of tests, time, and lockdown were used as the predictor variables. We further performed quasi-Poisson regression analysis to confirm the first model. On Poisson model regression analysis, it was found that there was an evidence of an increase in the number of positive COVID-19 cases following the intervention of Friday lockdown, with a p value of &lt;0.001 (relative risk, 1.569; 95% confidence interval, 1.549-1.590). On using quasi-Poisson regression, similar results were found with a wider confidence interval. We concluded that a single weekend day lockdown led to an increase in the number of daily cases of COVID-19. Therefore, we recommend authorities to adhere to evidence-based measures or to the WHO recommendations in the dealing with this pandemic.</abstract><cop>United States</cop><pub>Cureus</pub><pmid>34552834</pmid><doi>10.7759/cureus.17299</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2168-8184
ispartof Curēus (Palo Alto, CA), 2021-08, Vol.13 (8), p.e17299
issn 2168-8184
2168-8184
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8449516
source PubMed Central; PubMed Central Open Access
subjects Infectious Disease
Public Health
Quality Improvement
title Impact of a Single-Day Lockdown on COVID-19: An Interrupted Time Series Analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T16%3A31%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Impact%20of%20a%20Single-Day%20Lockdown%20on%20COVID-19:%20An%20Interrupted%20Time%20Series%20Analysis&rft.jtitle=Cur%C4%93us%20(Palo%20Alto,%20CA)&rft.au=AlRyalat,%20Saif%20Aldeen&rft.date=2021-08-19&rft.volume=13&rft.issue=8&rft.spage=e17299&rft.pages=e17299-&rft.issn=2168-8184&rft.eissn=2168-8184&rft_id=info:doi/10.7759/cureus.17299&rft_dat=%3Cproquest_pubme%3E2575831187%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2575831187&rft_id=info:pmid/34552834&rfr_iscdi=true