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A Frailty Model to Assess Plant Disease Spread from Individual Count Data
Volume 5, Issue 1 (2007), pp. 67–83
Samuel Soubeyrand   Ivan Sache   Christian Lannou     All authors (4)

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https://doi.org/10.6339/JDS.2007.05(1).315
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: Spread of airborne plant diseases from a propagule source is classically assessed by fitting a gradient curve to aggregated data coming from field experiments. But, aggregating data decreases information about processes involved in disease spread. To overcome this problem, individual count data can be collected; it was done in the case of short-distance spread of wheat brown rust. However, for such data, the gradient curve is a limited model since heterogeneity of hosts is ignored and, consequently, overdisper sion occurs. So, we propose a parametric frailty model in which the frailties represent propensities of hosts to be infected. The model is used to assess dispersal of propagules and heterogeneity of hosts.

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