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Weather and Climate Extremes|December 22, 2022
Probabilistic simulation of big climate data for robust quantification of changes in compound hazard eventsTheodoros Economou, Freya Garry
Journal of the Royal Society, Interface|September 21, 2022
A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mappingSophie A Lee, Theodoros Economou, Rachel Lowe
Journal of the Royal Society, Interface|May 26, 2021
Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptionsSophie A Lee, Christopher I Jarvis, W John Edmunds, et al.
Plos Neglected Tropical Diseases|December 9, 2021
The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century BrazilSophie A Lee, Theodoros Economou, Rafael de Castro Catão, et al.
BMC Veterinary Research|November 23, 2012
Assessing risk profiles for Salmonella serotypes in breeding pig operations in Portugal using a Bayesian hierarchical modelCarla Correia-Gomes, Theodoros Economou, Denisa Mendonça, et al.
BMC Veterinary Research|April 30, 2014
Transmission parameters estimated for Salmonella typhimurium in swine using susceptible-infectious-resistant models and a Bayesian approachCarla Correia-Gomes, Theodoros Economou, Trevor Bailey, et al.
Proceedings. Biological Sciences|July 1, 2016
Light pollution is associated with earlier tree budburst across the United KingdomRichard H Ffrench-Constant, Robin Somers-Yeates, Jonathan Bennie, et al.
Ecology Letters|October 13, 2020
Spatial co-localisation of extreme weather events: a clear and present dangerRosalind J Dodd, David R Chadwick, Ian M Harris, et al.
Statistics in Medicine|July 12, 2019
A modelling approach for correcting reporting delays in disease surveillance dataLeonardo S Bastos, Theodoros Economou, Marcelo F C Gomes, et al.
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