ArticleThe New phytologist2018
Inferring pathogen dynamics from temporal count data: the emergence of Xylella fastidiosa in France is probably not recent.
Article in The New phytologist, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- The hidden life ofApplied and environmental microbiology · 2025Article
- Preliminary transcriptomic analyses revealFrontiers in microbiology · 2025Article
- Suspicions of two bridgehead invasions of Xylella fastidiosa subsp. multiplex in France.Communications biology · 2023Article
- Exploring the xylem-sap to unravel biological features ofFrontiers in plant science · 2023Article
- Genetic differentiation ofMicrobial genomics · 2021Article
- Introduction and adaptation of an emerging pathogen to olive trees in Italy.Microbial genomics · 2021Article
- Article
- Review
- Dispersal of Philaenus spumarius (Hemiptera: Aphrophoridae), a Vector of Xylella fastidiosa, in Olive Grove and Meadow Agroecosystems.Environmental entomology · 2021Article
- Emerging strains of watermelon mosaic virus in Southeastern France: model-based estimation of the dates and places of introduction.Scientific reports · 2021Article
- Shape and rate of movement of the invasion front of Xylella fastidiosa spp. pauca in Puglia.Scientific reports · 2021Article
- Multi-scale spatial genetic structure of the vector-borne pathogen 'Candidatus Phytoplasma prunorum' in orchards and in wild habitats.Scientific reports · 2020Article
- Spittlebugs of Mediterranean Olive Groves: Host-Plant Exploitation throughout the Year.Insects · 2020Article
- Emergence of a Plant Pathogen in Europe Associated with Multiple Intercontinental Introductions.Applied and environmental microbiology · 2020Article
- Spatial Bayesian Modeling Applied to the Surveys ofFrontiers in plant science · 2020Article
- Phenology, seasonal abundance and stage-structure of spittlebug (Hemiptera: Aphrophoridae) populations in olive groves in Italy.Scientific reports · 2019Article
- Dating and localizing an invasion from post-introduction data and a coupled reaction-diffusion-absorption model.Journal of mathematical biology · 2019Article
- A lattice model to manage the vector and the infection of the Xylella fastidiosa on olive trees.Scientific reports · 2019Article
- Identification of genetic relationships and subspecies signatures in Xylella fastidiosa.BMC genomics · 2019Article
- Using insects to detect, monitor and predict the distribution of Xylella fastidiosa: a case study in Corsica.Scientific reports · 2018Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unravelling the ecological structure of emerging plant pathogens persisting in multi-host systems is challenging. In such systems, observations are often heterogeneous with respect to time, space and host species, and may lead to biases of perception. The biased perception of pathogen ecology may be exacerbated by hidden fractions of the whole host population, which may act as infection reservoirs. We designed a mechanistic-statistical approach to help understand the ecology of emerging pathogens by filtering out some biases of perception. This approach, based on SIR (Susceptible-Infected-Removed) models and a Bayesian framework, disentangles epidemiological and observational processes underlying temporal counting data. We applied our approach to French surveillance data on Xylella fastidiosa, a multi-host pathogenic bacterium recently discovered in Corsica, France. A model selection led to two diverging scenarios: one scenario without a hidden compartment and an introduction around 2001, and the other with a hidden compartment and an introduction around 1985. Thus, Xylella fastidiosa was probably introduced into Corsica much earlier than its discovery, and its control could be arduous under the hidden compartment scenario. From a methodological perspective, our approach provides insights into the dynamics of emerging plant pathogens and, in particular, the potential existence of infection reservoirs.
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