Article

Memory-based incremental parameter updating of a generic stochastic plant epidemic model

2025-07-15

Abstract excerpt

In plant-disease surveillance, timely and accurate estimation of transmission parameters is critical for informed decision-making. Here, I present a sequential Monte Carlo method that incrementally updates key parameters of a stochastic compartmental epidemic model as new incidence data are collected daily. My approach couples a Gillespie stochastic simulation algorithm for disease epidemiology with a memory-based...

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Identifiers and source

Literature Corpus work: 18ebfc72-39b6-594e-bbd2-c5171b275f79
DOI: 10.1101/2025.07.11.664325

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