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dc.contributor.authorAndronico, Alessio
dc.contributor.authorTran Kiem, Cécile
dc.contributor.authorPaireau, Juliette
dc.contributor.authorSucco, Tiphanie
dc.contributor.authorBosetti, Paolo
dc.contributor.authorLefrancq, Noémie
dc.contributor.authorNacher, Mathieu
dc.contributor.authorDjossou, Félix
dc.contributor.authorSanna, Alice
dc.contributor.authorFlamand, Claude
dc.contributor.authorSalje, Henrik
dc.contributor.authorRousseau, Cyril
dc.contributor.authorCauchemez, Simon
dc.date.accessioned2021-03-12T17:20:06Z
dc.date.available2021-03-12T17:20:06Z
dc.date.issued2021-03-12
dc.date.submitted2020-10-07
dc.identifier.others41467-021-21944-4
dc.identifier.other21944
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/318715
dc.descriptionFunder: We acknowledge financial support from the Investissement d'Avenir program, the Laboratoire d'Excellence Integrative Biology of Emerging Infectious Diseases program (Grant ANR-10-LABX-62-IBEID), Sante Publique France, the INCEPTION project (PIA/ANR-16-CONV-0005) and European Union V.E.O and RECOVER projects.
dc.description.abstractAbstract: While general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June–July 2020 in French Guiana that relied on curfews, targeted lockdowns, and other measures. We find that the combination of these interventions coincided with a reduction in the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid hospital saturation. We estimate that thanks to the young demographics, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modelling can be used to support healthcare planning in a context of high uncertainty.
dc.languageen
dc.publisherNature Publishing Group UK
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectArticle
dc.subject/631/114/2397
dc.subject/631/114/2415
dc.subject/631/326/596/4130
dc.subject/692/700/478/174
dc.subject/129
dc.subject/141
dc.subjectarticle
dc.titleEvaluating the impact of curfews and other measures on SARS-CoV-2 transmission in French Guiana
dc.typeArticle
dc.date.updated2021-03-12T17:20:06Z
prism.issueIdentifier1
prism.publicationNameNature Communications
prism.volume12
dc.identifier.doi10.17863/CAM.65832
dcterms.dateAccepted2021-02-17
rioxxterms.versionofrecord10.1038/s41467-021-21944-4
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidAndronico, Alessio [0000-0002-3542-7245]
dc.contributor.orcidTran Kiem, Cécile [0000-0003-0563-8428]
dc.contributor.orcidPaireau, Juliette [0000-0002-5143-6256]
dc.contributor.orcidLefrancq, Noémie [0000-0001-5991-6169]
dc.contributor.orcidFlamand, Claude [0000-0002-8064-445X]
dc.contributor.orcidSalje, Henrik [0000-0003-3626-4254]
dc.contributor.orcidCauchemez, Simon [0000-0001-9186-4549]
dc.identifier.eissn2041-1723


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)