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Estimating the epidemiology of emerging Xylella fastidiosa outbreaks in olives
Authors:Steven M. White  Juan A. Navas-Cortés  James M. Bullock  Donato Boscia  Daniel S. Chapman
Affiliation:1. UK Centre for Ecology & Hydrology, Wallingford, UK;2. Consejo Superior de Investigaciones Científicas (CSIC), Instituto de Agricultura Sostenible (IAS), Córdoba, Spain;3. CNR, Istituto per la Protezione Sostenibile delle Piante (IPSP), Bari, Italy;4. Biological and Environmental Sciences, University of Stirling, Stirling, UK
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.
Keywords:epidemiological model  Olea europea  olive quick decline syndrome  Philaenus spumarius  SIR  Xylella fastidiosa subsp. pauca
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