Selected article for: "gamma distribution and rate parameter"
Author: Francesco Pinotti; Laura Di Domenico; Ernesto Ortega; Marco Mancastroppa; Giulia Pullano; Eugenio Valdano; Pierre-Yves Boelle; Chiara Poletto; Vittoria Colizza
Title: Lessons learnt from 288 COVID-19 international cases: importations over time, effect of interventions, underdetection of imported cases
  • Document date: 2020_2_25
    • ID: ad3tct5b_59
    Snippet: Modelling the detection delay: The difference = − corresponds to the time from arrival to confirmation. To account for changes in detection efficiency, we modelled as a (discretized) gamma distribution with parameters changing with time. More precisely, the rate parameter of the distribution was X = * ZX . The shape parameter was constant, leading to a constant coefficient of variation.....
    Document: Modelling the detection delay: The difference = − corresponds to the time from arrival to confirmation. To account for changes in detection efficiency, we modelled as a (discretized) gamma distribution with parameters changing with time. More precisely, the rate parameter of the distribution was X = * ZX . The shape parameter was constant, leading to a constant coefficient of variation

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