Cargando…
Forecasting Pathogen Dynamics with Bayesian Model-Averaging: Application to Xylella fastidiosa
Forecasting invasive-pathogen dynamics is paramount to anticipate eradication and containment strategies. Such predictions can be obtained using a model grounded on partial differential equations (PDE; often exploited to model invasions) and fitted to surveillance data. This framework allows the con...
Autores principales: | Abboud, Candy, Parent, Eric, Bonnefon, Olivier, Soubeyrand, Samuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257384/ https://www.ncbi.nlm.nih.gov/pubmed/37300801 http://dx.doi.org/10.1007/s11538-023-01169-w |
Ejemplares similares
-
Dating and localizing an invasion from post-introduction data and a coupled reaction–diffusion–absorption model
por: Abboud, Candy, et al.
Publicado: (2019) -
Inferring pathogen dynamics from temporal count data: the emergence of Xylella fastidiosa in France is probably not recent
por: Soubeyrand, Samuel, et al.
Publicado: (2018) -
Pathogen Special: Vibrio Cholerae, Pseudomonas Aeruginosa and Xylella Fastidiosa
por: Wixon, Jo
Publicado: (2000) -
Morphological evidence for phages in Xylella fastidiosa
por: Chen, Jianchi, et al.
Publicado: (2008) -
Analysis of the biofilm proteome of Xylella fastidiosa
por: Silva, Mariana S, et al.
Publicado: (2011)