Selected article for: "case number and multiple time"
Author: Lee Worden; Rae Wannier; Nicole A. Hoff; Kamy Musene; Bernice Selo; Mathias Mossoko; Emile Okitolonda-Wemakoy; Jean Jacques Muyembe-Tamfum; George W. Rutherford; Thomas M. Lietman; Anne W. Rimoin; Travis C. Porco; J. Daniel Kelly
Title: Real-time projections of epidemic transmission and estimation of vaccination impact during an Ebola virus disease outbreak in Northeastern Democratic Republic of Congo
  • Document date: 2018_11_5
    • ID: 96arnumb_38
    Snippet: We retained snapshots of the set of available case counts at multiple time points, for 572 use in scoring of retrospective model projections against known subsequent counts 573 (Fig S1) . In later data sets, due to the larger number of data points, a subset of the case 574 counts was selected for use in the stochastic model's particle filtering step, as noted in 575 the figure......
    Document: We retained snapshots of the set of available case counts at multiple time points, for 572 use in scoring of retrospective model projections against known subsequent counts 573 (Fig S1) . In later data sets, due to the larger number of data points, a subset of the case 574 counts was selected for use in the stochastic model's particle filtering step, as noted in 575 the figure.

    Search related documents:
    Co phrase search for related documents
    • available case and data set: 1, 2, 3, 4, 5, 6
    • available case and stochastic model: 1, 2, 3, 4, 5
    • available case and time point: 1, 2
    • available case count and stochastic model: 1, 2
    • case subset and data set: 1
    • case subset and time point: 1
    • data set and large number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39
    • data set and later data set: 1
    • data set and multiple time point: 1
    • data set and stochastic model: 1, 2, 3, 4, 5, 6
    • data set and time point: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • large number and model projection: 1
    • large number and particle filter: 1, 2, 3, 4
    • large number and stochastic model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
    • large number and time point: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
    • model projection and stochastic model: 1, 2, 3, 4
    • multiple time point and time point: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    • stochastic model and time point: 1, 2, 3, 4, 5