20 citations · 26 across the 8 of their papers we have counts for
8 papers
Spatial statistics and stochastic partial differential equations: a mechanistic viewpoint
Lionel Roques, Denis Allard, Samuel Soubeyrand
The Stochastic Partial Differential Equation (SPDE) approach, now commonly used in spatial statistics to construct Gaussian random fields, is revisited from a mechanistic perspecti…
Using early data to estimate the actual infection fatality ratio from COVID-19 in France (Running title: Infection fatality ratio from COVID-19)
Lionel Roques, Etienne Klein, Julien Papax +2
The first cases of COVID-19 in France were detected on January 24, 2020. The number of screening tests carried out and the methodology used to target the patients tested do not all…
Equilibrium and sensitivity analysis of a spatio-temporal host-vector epidemic model
Olivier Martin, Yasmil Fernandez-Diclo, Jerome Coville +1
Insect-borne diseases are diseases carried by insects affecting humans, animals or plants. They have the potential to generate massive outbreaks such as the Zika epidemic in 2015-2…
Spatiotemporal large-scale networks shaped by air mass movements
Maria Choufany, Davide Martinetti, Rachid Senoussi +2
The movement of atmospheric air masses can be seen as a continuous and complex flow of particles hovering over our planet. It can however be locally simplified by considering three…
Quick inference for log Gaussian Cox processes with non-stationary underlying random fields
Jiří Dvořák, Jesper Møller, Tomáš Mrkvička +1
For point patterns observed in natura, spatial heterogeneity is more the rule than the exception. In numerous applications, this can be mathematically handled by the flexible class…
Dating and localizing an invasion from post-introduction data and a coupled reaction-diffusion-absorption model
Candy Abboud, Olivier Bonnefon, Eric Parent +1
Invasion of new territories by alien organisms is of primary concern for environmental and health agencies and has been a core topic in mathematical modeling, in particular in the…