Browsing Applied Statistics by Author "Martínez-Minaya, J."
Now showing items 1-6 of 6
-
Comparison of Frequentist and Bayesian Meta-Analysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence
Lázaro, E.; Makowski, D.; Martínez-Minaya, J.
; Vicent, A. (2020)
Diseases of fruit and foliage caused by fungi and oomycetes are generally controlled by the application of fungicides. The use of decision support systems (DSSs) may assist to optimize fungicide programs to enhance application ... -
Disease progression of peach powdery mildew in Catalonia, Spain – Towards a decision support system based on degree-days to initiate fungicide spray programs
Marimon, N.; Eduardo, I.; Martínez-Minaya, J.; Vicent, A.; Luque, J. (2020)
The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold ... -
Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana
Castilla, A.R.; Méndez-Vigo, B.; Marcer, A.; Martínez-Minaya, J.; Conesa, D.; Picó, F.X.; Alonso-Blanco, A. (2020)
Background: Disentangling the drivers of genetic differentiation is one of the cornerstones in evolution. This is because genetic diversity, and the way in which it is partitioned within and among populations across space, ... -
Impacto cuantitativo de la contaminación en la probabilidad de muerte por neumonía por SARS-CoV-2
Bronte Moreno, O.; Urrutia Landa, I.; Martínez-Minaya, J.; García, F.; Lee, D.-J.; Jódar Samper, A.; García Hontoria, P.; Arostegui, I.; Artaraz Ereño, A.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
Introducción La evidencia científica disponible señala que la contaminación del aire exterior podría agravar la severidad de la COVID-19 y por ende, incrementar las probabilidades de fallecimiento. Material y métodos Estudio ... -
Predicción de la gravedad de neumonías por SARS-CoV-2 a partir de información clínica y contaminación, mediante inteligencia artificial
Bronte Moreno, O.; Urrutia Landa, I.; García, F.; Martínez-Minaya, J.; Uranga Echeverria, A.; Lee, D.-J.; García Hontoria, P.; Jódar Samper, A.; Arostegui, I.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Aldaiturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
Introducción La contaminación del aire exterior se ha relacionado con mayor gravedad de las infecciones respiratorias. Por tanto, su inclusión en algoritmos predictivos podrían añadir información para pronosticar la ... -
Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)
Cendoya, M.; Martínez-Minaya, J.; Dalmau, V.; Ferrer, A.; Saponari, M.; Conesa, D.; López-Quílez, A.; Vicent, A. (2020)
The plant-pathogenic bacterium Xylella fastidiosa was first reported in Europe in 2013, in the province of Lecce, Italy, where extensive areas were affected by the olive quick decline syndrome, caused by the subsp. pauca. ...