Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31497
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Estimating the epidemiology of emerging Xylella fastidiosa outbreaks in olives
Author(s): White, Steven M
Navas-Cortés, Juan A
Bullock, James M
Boscia, Donato
Chapman, Daniel S
Keywords: epidemiological model
Olea europea
olive quick decline syndrome
Philaenus spumarius
SIR
Xylella fastidiosa subsp. pauca
Issue Date: Oct-2020
Date Deposited: 31-Jul-2020
Citation: White SM, Navas-Cortés JA, Bullock JM, Boscia D & Chapman DS (2020) Estimating the epidemiology of emerging Xylella fastidiosa outbreaks in olives. Plant Pathology, 69 (8), pp. 1403-1413. https://doi.org/10.1111/ppa.13238
Abstract: Xylella fastidiosa is an important insect‐vectored bacterial plant pathogen with a wide host range, causing significant economic impact in the agricultural and horticultural industries. Once restricted to the Americas, severe European outbreaks have been discovered recently in Italy, Spain, France, and Portugal. The Italian outbreak, detected in Puglia in 2013, has spread over 100 km, killing millions of olive trees, and is still expanding. To date, quantified assessment of important epidemiological parameters useful for risk assessment and management, such as transmission rates, symptomless periods, and time to death in field populations, has been lacking. This is due to the emergent and novel nature of the outbreak and length of time needed to monitor the course of disease progression. To address this, we developed a Bayesian method to infer epidemiological parameters by fitting and comparing compartmental epidemiological models to short snapshots of disease progression observed in multiple field plots. We estimated that each infected tree with symptoms is able to infect around 19 trees per year (95% credible range 14–26). The symptomless stage was estimated to have low to negligible infectivity and to last an average of approximately 1.2 years (95% credible range 1.0–1.3 years). Tree desiccation was estimated to occur approximately 4.3 years (95% credible range 4.0–4.6 years) after symptom appearance. However, we were unable to estimate the infectiousness of desiccated trees from the data. Our method could be used to make early estimates of epidemiological parameters in other emerging disease outbreaks where symptom expression is slow.
DOI Link: 10.1111/ppa.13238
Rights: © 2020 The Authors. Plant Pathology published by John Wiley & Sons Ltd on behalf of British Society for Plant Pathology This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
ppa.13238.pdfFulltext - Published Version1.61 MBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.