Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/43405
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dc.creatorDean, Natalie E.-
dc.creatorPastore y Piontti, Ana-
dc.creatorMadewell, Zachary J.-
dc.creatorCummings, Derek A. T.-
dc.creatorHitchings, Matthew D. T.-
dc.creatorJoshi, Keya-
dc.creatorKahn, Rebecca-
dc.creatorVespignani, Alessandro-
dc.creatorHalloran, M. Elizabeth-
dc.creatorLongini, Ira M.-
dc.date.accessioned2020-10-14T16:47:51Z-
dc.date.available2020-10-14T16:47:51Z-
dc.date.issued2020-10-
dc.identifier.citationDEAN, N. E. et al. Ensemble forecast modeling for the design of COVID-19 vaccine efficacy trials. Vaccine, [S.l.], v. 38, n. 46, p. 7213-7216, Oct. 2020.pt_BR
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0264410X20311919pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/43405-
dc.description.abstractTo rapidly evaluate the safety and efficacy of COVID-19 vaccine candidates, prioritizing vaccine trial sites in areas with high expected disease incidence can speed endpoint accrual and shorten trial duration. Mathematical and statistical forecast models can inform the process of site selection, integrating available data sources and facilitating comparisons across locations. We recommend the use of ensemble forecast modeling – combining projections from independent modeling groups – to guide investigators identifying suitable sites for COVID-19 vaccine efficacy trials. We describe an appropriate structure for this process, including minimum requirements, suggested output, and a user-friendly tool for displaying results. Importantly, we advise that this process be repeated regularly throughout the trial, to inform decisions about enrolling new participants at existing sites with waning incidence versus adding entirely new sites. These types of data-driven models can support the implementation of flexible efficacy trials tailored to the outbreak setting.pt_BR
dc.languageen_USpt_BR
dc.publisherElsevierpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceVaccinept_BR
dc.subjectEfficacy trialpt_BR
dc.subjectTrial planningpt_BR
dc.subjectForecast modelpt_BR
dc.subjectEnsemble modelingpt_BR
dc.titleEnsemble forecast modeling for the design of COVID-19 vaccine efficacy trialspt_BR
dc.typeArtigopt_BR
Aparece nas coleções:FCS - Artigos sobre Coronavirus Disease 2019 (COVID-19)

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