Non-pharmaceutical interventions to combat COVID-19 in the Americas described through daily sub-national data

dc.article.number734
dc.contributor.authorTouchton M.
dc.contributor.authorKnaul F.M.
dc.contributor.authorArreola-Ornelas H.
dc.contributor.authorPorteny T.
dc.contributor.authorCarniado O.M.
dc.contributor.authorFaganello M.
dc.contributor.authorHummel C.
dc.contributor.authorOtero S.
dc.contributor.authorInsua J.
dc.contributor.authorPatino F.
dc.contributor.authorUndurraga, Eduardo A.
dc.contributor.authorPerez-Cruz P.
dc.contributor.authorSanchez-Talanquer M.
dc.contributor.authorVelasco Guachalla V.X.
dc.contributor.authorNelson-Nunez J.
dc.contributor.authorBoulding C.
dc.contributor.authorCalderon-Anyosa R.
dc.contributor.authorGarcia P.J.
dc.contributor.authorVargas Enciso V.
dc.date.accessioned2025-05-01T10:31:31Z
dc.date.available2025-05-01T10:31:31Z
dc.date.issued2023
dc.description.abstract© 2023, Springer Nature Limited.This dataset covers national and subnational non-pharmaceutical interventions (NPI) to combat the COVID-19 pandemic in the Americas. Prior to the development of a vaccine, NPI were governments’ primary tools to mitigate the spread of COVID-19. Variation in subnational responses to COVID-19 is high and is salient for health outcomes. This dataset captures governments’ dynamic, varied NPI to combat COVID-19 for 80% of Latin America’s population from each country’s first case through December 2021. These daily data encompass all national and subnational units in Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, and Peru. The dataset includes individual and aggregate indices of nine NPI: school closures, work suspensions, public event cancellations, public transport suspensions, information campaigns, local travel restrictions, international travel controls, stay-at-home orders, and restrictions on the size of gatherings. We also collected data on mask mandates as a separate indicator. Local country-teams drew from multiple data sources, resulting in high-quality, reliable data. The dataset thus allows for consistent, meaningful comparisons of NPI within and across countries during the pandemic.
dc.description.funderANID-Millenium
dc.description.funderANIDMillenium Science Initiative Program-iBio ICN17_022
dc.description.funderUCSB
dc.format.extent8 páginas
dc.fuente.origenScopus
dc.identifier.doi10.1038/s41597-023-02638-6
dc.identifier.eisbn978-1-5106-5352-8
dc.identifier.eissn2641-435X
dc.identifier.isbn978-1-5106-5351-1
dc.identifier.issn20524463
dc.identifier.pubmedid40243597
dc.identifier.scieloidS0718-69242020000300109
dc.identifier.scopusidSCOPUS_ID:85174584219
dc.identifier.urihttps://doi.org/10.1038/s41597-023-02638-6
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/103766
dc.identifier.wosidWOS:001097589500003
dc.information.autorucEscuela de Medicina; Perez Cruz Pedro Emilio; 0000-0001-6265-6919; 4140
dc.issue.numero3
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final247
dc.pagina.inicio237
dc.publisherSpringer International Publishing
dc.relation.ispartofWorld Conference on Timber Engineering (2023 : Oslo, Noruega)
dc.revistaScientific Data
dc.rightsacceso abierto
dc.subjectDidelphis uterus
dc.subjectMüllerian malformations
dc.subjectUnicorn uterus
dc.subjectUterine septum
dc.subject.ddc600
dc.subject.deweyTecnologíaes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleNon-pharmaceutical interventions to combat COVID-19 in the Americas described through daily sub-national data
dc.typeartículo
dc.volumen10
sipa.codpersvinculados4140
sipa.indexScopus
sipa.trazabilidadCarga WOS-SCOPUS;01-05-2025
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