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Research compendium - Estimation of a time-varying apparent infection rate from plant disease progress curves: a particle filter approach
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Description: In this work, a data assimilation technique, Particle Filter (PF) was evaluated as an alternative method for estimating time-varying infection rate of plant disease epidemics. For such, synthetic DPC data for a hypothetical polycyclic epidemics were simulated using the logistic differential equation for scenarios that combined five patterns of r(t) (constant, increasing, decreasing, random or sinusoidal); five increasing time assessment interval (t = 1, 3, 5, 7 or 9 time units - t.u.); and two levels of noise ( = 0.1 or 0.25) assigned to y(t).
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