Header

UZH-Logo

Maintenance Infos

Modelling the spread in space and time of an airborne plant disease


Soubeyrand, S; Held, L; Höhle, M; Sache, I (2008). Modelling the spread in space and time of an airborne plant disease. Journal of the Royal Statistical Society: Series C (Applied Statistics), 57(3):253-272.

Abstract

A spatiotemporal model is developed to analyse epidemics of airborne plant diseases which are spread by spores. The observations consist of measurements of the severity of disease at different times, different locations in the horizontal plane and different heights in the vegetal cover. The model describes the joint distribution of the occurrence and the severity of the disease. The three-dimensional dispersal of spores is modelled by combining a horizontal and a vertical dispersal function. Maximum likelihood combined with a parametric bootstrap is suggested to estimate the model parameters and the uncertainty that is attached to them. The spatiotemporal model is used to analyse a yellow rust epidemic in a wheatfield. In the analysis we pay particular attention to the selection and the estimation of the dispersal functions.

Abstract

A spatiotemporal model is developed to analyse epidemics of airborne plant diseases which are spread by spores. The observations consist of measurements of the severity of disease at different times, different locations in the horizontal plane and different heights in the vegetal cover. The model describes the joint distribution of the occurrence and the severity of the disease. The three-dimensional dispersal of spores is modelled by combining a horizontal and a vertical dispersal function. Maximum likelihood combined with a parametric bootstrap is suggested to estimate the model parameters and the uncertainty that is attached to them. The spatiotemporal model is used to analyse a yellow rust epidemic in a wheatfield. In the analysis we pay particular attention to the selection and the estimation of the dispersal functions.

Statistics

Citations

Dimensions.ai Metrics
17 citations in Web of Science®
16 citations in Scopus®
18 citations in Microsoft Academic
Google Scholar™

Altmetrics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Epidemiology, Biostatistics and Prevention Institute (EBPI)
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:May 2008
Deposited On:09 Sep 2008 14:42
Last Modified:18 Feb 2018 09:30
Publisher:Royal Statistical Society
ISSN:0035-9254
OA Status:Closed
Publisher DOI:https://doi.org/10.1111/j.1467-9876.2007.00612.x

Download

Full text not available from this repository.
View at publisher

Get full-text in a library