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dc.contributor.authorDeckert, Andreasde
dc.contributor.authorAnders, Simonde
dc.contributor.authorDe Allegri, Manuelade
dc.contributor.authorNguyen, Hoa Thide
dc.contributor.authorSouares, Auréliade
dc.contributor.authorMcMahon, Shannonde
dc.contributor.authorMeurer, Matthiasde
dc.contributor.authorBurk, Robinde
dc.contributor.authorSand, Matthiasde
dc.contributor.authorKoeppel, Lisade
dc.contributor.authorMaier Hein, Lenade
dc.contributor.authorRoß, Tobiasde
dc.contributor.authorAdler, Timde
dc.contributor.authorSiems, Tobiasde
dc.contributor.authorBrugnara, Luciade
dc.contributor.authorBrenner, Stephande
dc.contributor.authorHerbst, Konradde
dc.contributor.authorKirrmaier, Danielde
dc.contributor.authorDuan, Yuanqiangde
dc.contributor.authorOvchinnikova, Svetlanade
dc.contributor.authorBoerner, Kathleende
dc.contributor.authorMarx, Michaelde
dc.contributor.authorKräusslich, Hans-Georgde
dc.contributor.authorKnop, Michaelde
dc.contributor.authorBärnighausen, Tillde
dc.contributor.authorDenkinger, Claudiade
dc.date.accessioned2023-08-16T14:02:33Z
dc.date.available2023-08-16T14:02:33Z
dc.date.issued2021de
dc.identifier.issn1745-6215de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/88569
dc.description.abstractBackground: To achieve higher effectiveness in population-based SARS-CoV-2 surveillance and to reliably predict the course of an outbreak, screening, and monitoring of infected individuals without major symptoms (about 40% of the population) will be necessary. While current testing capacities are also used to identify such asymptomatic cases, this rather passive approach is not suitable in generating reliable population-based estimates of the prevalence of asymptomatic carriers to allow any dependable predictions on the course of the pandemic. Methods: This trial implements a two-factorial, randomized, controlled, multi-arm, prospective, interventional, single-blinded design with cluster sampling and four study arms, each representing a different SARS-CoV-2 testing and surveillance strategy based on individuals' self-collection of saliva samples which are then sent to and analyzed by a laboratory. The targeted sample size for the trial is 10,000 saliva samples equally allocated to the four study arms (2500 participants per arm). Strategies differ with respect to tested population groups (individuals vs. all household members) and testing approach (without vs. with pre-screening survey). The trial is complemented by an economic evaluation and qualitative assessment of user experiences. Primary outcomes include costs per completely screened person, costs per positive case, positive detection rate, and precision of positive detection rate. Discussion: Systems for active surveillance of the general population will gain more importance in the context of pandemics and related disease prevention efforts. The pandemic parameters derived from such active surveillance with routine population monitoring therefore not only enable a prospective assessment of the short-term course of a pandemic, but also a more targeted and thus more effective use of local and short-term countermeasures. Trial registration: ClinicalTrials.gov DRKS00023271. Registered November 30, 2020, with the German Clinical Trials Register (Deutsches Register Klinischer Studien)de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherCOVID-19; Coronavirus; Cluster-randomised controlled trial; Protocol; Population-based surveillance; Cost-effectiveness; Implementation; Pandemic; Study Protocolde
dc.titleEffectiveness and cost-effectiveness of four different strategies for SARS-CoV-2 surveillance in the general population (CoV-Surv Study): study protocol for a two-factorial randomized controlled multi-arm trial with cluster samplingde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urllocalfile:/var/tmp/crawlerFiles/deepGreen/842e5041fcc544bc9c9277548d4e794b/842e5041fcc544bc9c9277548d4e794b.pdfde
dc.source.journalTrials
dc.source.volume22de
dc.publisher.countryGBRde
dc.source.issue1de
dc.subject.classozGesundheitspolitikde
dc.subject.classozHealth Policyen
dc.subject.thesozInfektionskrankheitde
dc.subject.thesozcontagious diseaseen
dc.subject.thesozMonitoringde
dc.subject.thesozmonitoringen
dc.subject.thesozKrankheitsverlaufde
dc.subject.thesozcourse of a diseaseen
dc.subject.thesozPrognosede
dc.subject.thesozprognosisen
dc.subject.thesozProphylaxede
dc.subject.thesozprophylaxisen
dc.subject.thesozPublic Healthde
dc.subject.thesozpublic healthen
dc.identifier.urnurn:nbn:de:0168-ssoar-88569-6
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10047305
internal.identifier.thesoz10096447
internal.identifier.thesoz10035534
internal.identifier.thesoz10036432
internal.identifier.thesoz10044417
internal.identifier.thesoz10053580
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
internal.identifier.classoz11006
internal.identifier.journal2728
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1186/s13063-021-05619-5de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontruede
internal.dda.referencecrawler-deepgreen-217@@842e5041fcc544bc9c9277548d4e794b


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