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dc.contributor.authorBarbeito, Inés
dc.contributor.authorPrecioso Garcelán, Daniel 
dc.contributor.authorSierra Fernández, José María 
dc.contributor.authorVegas Azcárate, Susana
dc.contributor.authorFernández Balbuena, Sonia
dc.contributor.authorVitoriano, Begoña
dc.contributor.authorGómez-Ullate Oteiza, David 
dc.contributor.authorCao, Ricardo
dc.contributor.authorMonge, Susana
dc.contributor.otherIngeniería en Automática, Electrónica, Arquitectura y Redes de Computadoreses_ES
dc.contributor.otherIngeniería Informáticaes_ES
dc.date.accessioned2024-02-20T10:48:34Z
dc.date.available2024-02-20T10:48:34Z
dc.date.issued2023-04-12
dc.identifier.issn2296-2565
dc.identifier.urihttp://hdl.handle.net/10498/31182
dc.description.abstractBackground: We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15 September 2020 to 9 May 2021. Methods: A stringency index (0–1) was created for each Spanish province (n = 50) daily. A hierarchical multiplicative model was fitted. The median of coefficients across provinces (95% bootstrap confidence intervals) quantified the effect of increasing one standard deviation in the stringency index over the logarithmic return of the weekly percentage variation of the 7-days SARS-CoV-2 cumulative incidence, lagged 12 days. Results: Overall, increasing restrictions reduced SARS-CoV-2 transmission by 22% (RR = 0.78; one-sided 95%CI: 0, 0.82) in 1 week, with highest effects for culture and leisure 14% (0.86; 0, 0.98), social distancing 13% (0.87; 0, 0.95), indoor restaurants 10% (0.90; 0, 0.95) and indoor sports 6% (0.94; 0, 0.98). In a reduced model with seven fields, culture and leisure no longer had a significant effect while ceremonies decreased transmission by 5% (0.95; 0, 0.96). Models R2 was around 70%. Conclusion: Increased restrictions decreased COVID-19 transmission. Limitations include remaining collinearity between fields, and somewhat artificial quantification of qualitative restrictions, so the exact attribution of the effect to specific areas must be done with caution.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherFrontiers Mediaes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceFrontiers in Public Health. Vol. 11 (2023), 1061331es_ES
dc.subjectCOVID-19es_ES
dc.subjecteffectivenesses_ES
dc.subjecthierarchical modelses_ES
dc.subjectlogarithmic returnes_ES
dc.subjecton-pharmaceutical interventions (NPI)es_ES
dc.subjectpandemices_ES
dc.titleEffectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020–May 2021)es_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.description.physDesc10 páginases_ES
dc.identifier.doi10.3389/fpubh.2023.1061331
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//PID2021-122154NB-I00/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//TED2021-129455B-I00/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Andalucía//FEDER-UCA18-108393es_ES
dc.type.hasVersionVoRes_ES


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This work is under a Creative Commons License Atribución 4.0 Internacional