Estimation of the dispersal distances of an aphid-borne virus in a patchy landscape

Characterising the spatio-temporal dynamics of pathogens in natura is key to ensuring their efficient prevention and control. However, it is notoriously difficult to estimate dispersal parameters at scales that are relevant to real epidemics. Epidemiological surveys can provide informative data, but...

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Veröffentlicht in:	PLoS computational biology 2018-04, Vol.14 (4), p.e1006085
Hauptverfasser:	Pleydell, David R J, Soubeyrand, Samuel, Dallot, Sylvie, Labonne, Gérard, Chadœuf, Joël, Jacquot, Emmanuel, Thébaud, Gaël
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Algorithms Animals Aphidoidea Aphids - virology Bayes Theorem Bayesian analysis Biology and Life Sciences Complications Computational Biology Computer Simulation Disease Disease control Disease spread Dispersal Dispersion Epidemics Epidemiology Funding Host-virus relationships Infectious diseases Insect Vectors - virology Insects Life Sciences Mathematical models Medicine and Health Sciences Microbiology and Parasitology Models, Biological Observations Orchards Parameter estimation Pathogens Physical Sciences Phytopathology and phytopharmacy Plant Diseases - prevention & control Plant Diseases - statistics & numerical data Plant Diseases - virology Plant viruses Plum pox Plum Pox Virus - pathogenicity Polls & surveys Prunus - virology Software Supervision Surveillance Vegetal Biology Virology Viruses
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