Selected article for: "case count and model performance"
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_18
    Snippet: The frequencies of (R initial , Ï„ ) pairs selected by the filtering process were similarly 206 recorded as an estimate of the likelihood of those transmission rate parameters. 207 We provide a detailed report of the parameters, simulations, and performance of the 208 stochastic model in the Supplemental Material. This analysis was conducted using R The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https.....
    Document: The frequencies of (R initial , Ï„ ) pairs selected by the filtering process were similarly 206 recorded as an estimate of the likelihood of those transmission rate parameters. 207 We provide a detailed report of the parameters, simulations, and performance of the 208 stochastic model in the Supplemental Material. This analysis was conducted using R The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/461285 doi: bioRxiv preprint historic case counts for specific dates were missing, each missing case count was linearly 220 interpolated from the two nearest case counts, allowing the model to remain agnostic 221 about the current trend of the epidemic. After model fitting and validation, the final 222 model chosen was a log-link regression for additional cases on the number of new cases 223 identified in the previous two and four weeks and the ratio of these two case counts.

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