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dc.contributor.authorOh, Juhwan
dc.contributor.authorLee, Hwa-Young
dc.contributor.authorKhuong, Quynh Long
dc.contributor.authorMarkuns, Jeffrey F.
dc.contributor.authorBullen, Chris
dc.contributor.authorBarrios, Osvaldo Enrique Artaza
dc.contributor.authorHwang, Seung-sik
dc.contributor.authorSuh, Young Sahng
dc.contributor.authorMcCool, Judith
dc.contributor.authorKachur, S. Patrick
dc.contributor.authorChan, Chang-Chuan
dc.contributor.authorKwon, Soonman
dc.contributor.authorKondo, Naoki
dc.contributor.authorHoang, Van Minh
dc.contributor.authorMoon, J. Robin
dc.contributor.authorRostila, Mikael
dc.contributor.authorNorheim, Ole Frithjof
dc.contributor.authorYou, Myoungsoon
dc.contributor.authorWithers, Mellissa
dc.contributor.authorLi, Mu
dc.contributor.authorLee, Eun-Jeung
dc.contributor.authorBenski, Caroline
dc.contributor.authorPark, Sookyung
dc.contributor.authorNam, Eun-Woo
dc.contributor.authorGottschalk, Katie
dc.contributor.authorKavanagh, Matthew M.
dc.contributor.authorTran, Thi Giang Huong
dc.contributor.authorLee, Jong-Koo
dc.contributor.authorSubramanian, S.V.
dc.contributor.authorMcKee, Martin
dc.contributor.authorGostin, Lawrence
dc.date.accessioned2022-02-04T10:26:42Z
dc.date.available2022-02-04T10:26:42Z
dc.date.created2022-01-28T09:03:30Z
dc.date.issued2021
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/2977136
dc.description.abstractMost countries have implemented restrictions on mobility to prevent the spread of Coronavirus disease-19 (COVID-19), entailing considerable societal costs but, at least initially, based on limited evidence of effectiveness. We asked whether mobility restrictions were associated with changes in the occurrence of COVID-19 in 34 OECD countries plus Singapore and Taiwan. Our data sources were the Google Global Mobility Data Source, which reports different types of mobility, and COVID-19 cases retrieved from the dataset curated by Our World in Data. Beginning at each country’s 100th case, and incorporating a 14-day lag to account for the delay between exposure and illness, we examined the association between changes in mobility (with January 3 to February 6, 2020 as baseline) and the ratio of the number of newly confirmed cases on a given day to the total number of cases over the past 14 days from the index day (the potentially infective ‘pool’ in that population), per million population, using LOESS regression and logit regression. In two-thirds of examined countries, reductions of up to 40% in commuting mobility (to workplaces, transit stations, retailers, and recreation) were associated with decreased cases, especially early in the pandemic. Once both mobility and incidence had been brought down, further restrictions provided little additional benefit. These findings point to the importance of acting early and decisively in a pandemic.en_US
dc.language.isoengen_US
dc.publisherNature Portfolioen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMobility restrictions were associated with reductions in COVID-19 incidence early in the pandemic: evidence from a real-time evaluation in 34 countriesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2021en_US
dc.source.articlenumber13717en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1038/s41598-021-92766-z
dc.identifier.cristin1991982
dc.source.journalScientific Reportsen_US
dc.identifier.citationScientific Reports. 2021, 11(1): 13717.en_US
dc.source.volume11en_US
dc.source.issue1en_US


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