Selected article for: "early detection and high sensitivity"
Author: Mark Hernandez; Lauren E Milechin; Shakti K Davis; Rich DeLaura; Kajal T Claypool; Albert Swiston
Title: The Impact of Host-Based Early Warning on Disease Outbreaks
  • Document date: 2020_3_8
    • ID: 8874c8jp_33
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.06.20029793 doi: medRxiv preprint Using these metrics, we evaluated five QIT policy sets: quarantine-all, isolate upon selfreporting, and quarantine-on-alert with three different levels of early detection performancehigh sensitivity (PD = 0.8, κ =0.10), high specificity (PD = 0.4, κ = 1/365), and a near-ideal earlydetection system (PD =.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.06.20029793 doi: medRxiv preprint Using these metrics, we evaluated five QIT policy sets: quarantine-all, isolate upon selfreporting, and quarantine-on-alert with three different levels of early detection performancehigh sensitivity (PD = 0.8, κ =0.10), high specificity (PD = 0.4, κ = 1/365), and a near-ideal earlydetection system (PD = 0.8, κ = 1/365). These five QIT policy options were then tested against four different outbreak scenarios with high or low disease transmission (where β = 0.6 or 0.3, respectively) and high or low initial population exposures (where E0 = 600 or 50, respectively). Figure 10 shows the QIT policy trade-offs for these 20 independent outbreak and policy combinations.

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